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Data Mining - Clustering
 
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What is clustering Partitioning a data into subclasses. Grouping similar objects. Partitioning the data based on similarity. Eg:Library. Clustering Types Partitioning Method Hierarchical Method Agglomerative Method Divisive Method Density Based Method Model based Method Constraint based Method These are clustering Methods or types. Clustering Algorithms,Clustering Applications and Examples are also Explained.
Clustering Part 1 Introduction Clustering Algorithms Types of Clusters
 
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In this video, I will be introducing my multipart series on clustering algorithms. I introduce clustering, and cover various types of clusterings. Check back soon for part 2. Credit for much of the information used to make this video must go to "Introduction to Data Mining" by Pang-Ning Tan, Michael Steinbach and Vipin Kumar. I refer to the first edition, published in 2006.
Views: 6296 Laurel Powell
12. Clustering
 
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MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016 View the complete course: http://ocw.mit.edu/6-0002F16 Instructor: John Guttag Prof. Guttag discusses clustering. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 57801 MIT OpenCourseWare
Lecture 58 — Overview of Clustering | Mining of Massive Datasets | Stanford University
 
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. Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "FAIR USE" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use. .
Technical Course: Cluster Analysis: K-Means Algorithm for Clustering
 
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K-Means Algorithm for clustering by Gaurav Vohra, founder of Jigsaw Academy. This is a clip from the Clustering module of our course on analytics. Jigsaw Academy is an award winning premier online analytics training institute that aims to meet the growing demand for talent in the field of analytics by providing industry-relevant training to develop business-ready professionals.Jigsaw Academy has been acknowledged by blue chip companies for quality training Follow us on: https://www.facebook.com/jigsawacademy https://twitter.com/jigsawacademy http://jigsawacademy.com/
Views: 197455 Jigsaw Academy
Clustering Algorithms .. What is Clustering?
 
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My web page: www.imperial.ac.uk/people/n.sadawi
Views: 26103 Noureddin Sadawi
Data Mining Classification and Prediction ( in Hindi)
 
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A tutorial about classification and prediction in Data Mining .
Views: 15221 Red Apple Tutorials
Hierarchical Clustering 5: summary
 
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[http://bit.ly/s-link] Summary of the lecture.
Views: 5570 Victor Lavrenko
Data Mining Techniques to Prevent Credit Card Fraud
 
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Includes a brief introduction to credit card fraud, types of credit card fraud, how fraud is detected, applicable data mining techniques, as well as drawbacks.
Views: 9701 Ben Rodick
K-Mean Clustering
 
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Data Warehouse and Mining For more: http://www.anuradhabhatia.com
Views: 69663 Anuradha Bhatia
DBSCAN | Density based clustering Algorithm - Simplest Explanation  in Hindi
 
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SImplest Video about density based algorithm - DBSCAN
Views: 23533 Red Apple Tutorials
Hierarchical Agglomerative Clustering [HAC - Single Link]
 
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Data Warehouse and Mining For more: http://www.anuradhabhatia.com
Views: 54239 Anuradha Bhatia
Introduction To Cluster Analysis
 
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This is short tutorial for What it is? (What do we mean by a cluster?) How it is different from decision tree? What is distance and linkage function? What is hierarchical clustering? What is scree plot & dendogram? What is non hierarchical clustering (k-means)? How to learn it in detail (step by step)? --------------------------------- Read in great detail along with Excel output, computation and SAS code ---------------------------------- https://www.udemy.com/cluster-analysis-motivation-theory-practical-application/?couponCode=FB_CA_001
Views: 122186 Gopal Malakar
K-means clustering: how it works
 
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Full lecture: http://bit.ly/K-means The K-means algorithm starts by placing K points (centroids) at random locations in space. We then perform the following steps iteratively: (1) for each instance, we assign it to a cluster with the nearest centroid, and (2) we move each centroid to the mean of the instances assigned to it. The algorithm continues until no instances change cluster membership.
Views: 419586 Victor Lavrenko
data mining powerpoint
 
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IASP 520 - Data Mining How Data Mining is used in the Healthcare Field
Views: 750 fransis Hansen
Data Mining  Association Rule - Basic Concepts
 
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short introduction on Association Rule with definition & Example, are explained. Association rules are if/then statements used to find relationship between unrelated data in information repository or relational database. Parts of Association rule is explained with 2 measurements support and confidence. types of association rule such as single dimensional Association Rule,Multi dimensional Association rules and Hybrid Association rules are explained with Examples. Names of Association rule algorithm and fields where association rule is used is also mentioned.
Introduction to data mining and architecture  in hindi
 
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Sample Notes : https://drive.google.com/file/d/19xmuQO1cprKqqbIVKcd7_-hILxF9yfx6/view?usp=sharing for notes fill the form : https://goo.gl/forms/C7EcSPmfOGleVOOA3 For full course:https://goo.gl/bYbuZ2 More videos coming soon so Subscribe karke rakho  :  https://goo.gl/85HQGm for full notes   please fill the form for notes :https://goo.gl/forms/MJD1mAOaTzyag64P2 For full hand made  notes of data warehouse and data mining  its only 200rs payment options is PAYTM :7038604912 once we get payment notification we will mail you the notes on your email id contact us at :[email protected] For full course :https://goo.gl/Y1UcLd Topic wise: Introduction to Datawarehouse:https://goo.gl/7BnSFo Meta data in 5 mins :https://goo.gl/7aectS Datamart in datawarehouse :https://goo.gl/rzE7SJ Architecture of datawarehouse:https://goo.gl/DngTu7 how to draw star schema slowflake schema and fact constelation:https://goo.gl/94HsDT what is Olap operation :https://goo.gl/RYQEuN OLAP vs OLTP:https://goo.gl/hYL2kd decision tree with solved example:https://goo.gl/nNTFJ3 K mean clustering algorithm:https://goo.gl/9gGGu5 Introduction to data mining and architecture:https://goo.gl/8dUADv Naive bayes classifier:https://goo.gl/jVUNyc Apriori Algorithm:https://goo.gl/eY6Kbx Agglomerative clustering algorithmn:https://goo.gl/8ktMss KDD in data mining :https://goo.gl/K2vvuJ ETL process:https://goo.gl/bKnac9 FP TREE Algorithm:https://goo.gl/W24ZRF Decision tree:https://goo.gl/o3xHgo more videos coming soon so channel ko subscribe karke rakho
Views: 136945 Last moment tuitions
Cluster Analysis for Market Segmentation (.ppt) || #004
 
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Cluster Analysis for Market Segmentation in Presentation Format.. Include information about Cluster Analysis and the relation between Cluster Analysis and Market Segmentation .. This is only for EDUCATIONAL & KNOWLEDGE purpose... :).. Hit Like if you Like the video & comment..
Views: 839 Vishal TecHs
BIRCH ALGORITHM 1
 
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PPT+AUDIO=VIDEO.
k means clustering example HD
 
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This is not my work! Please give credits to the original author: https://vimeo.com/110060516 To calculate means from cluster centers: For example, if a cluster contains three data points such as {32,65}, {16,87} and {17,60}, the mean of this cluster is (32+16+17)/3 and (65+87+60)/3.
Views: 139354 Iulita
Top 5 Algorithms used in Data Science | Data Science Tutorial | Data Mining Tutorial | Edureka
 
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( Data Science Training - https://www.edureka.co/data-science ) This tutorial will give you an overview of the most common algorithms that are used in Data Science. Here, you will learn what activities Data Scientists do and you will learn how they use algorithms like Decision Tree, Random Forest, Association Rule Mining, Linear Regression and K-Means Clustering. To learn more about Data Science click here: http://goo.gl/9HsPlv The topics related to 'R', Machine learning and Hadoop and various other algorithms have been extensively covered in our course “Data Science”. For more information, please write back to us at [email protected] Call us at US: 1800 275 9730 (toll free) or India: +91-8880862004
Views: 93585 edureka!
Lecture 13.2 —  Clustering | KMeans Algorithm — [ Machine Learning | Andrew Ng ]
 
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. Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "FAIR USE" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use. .
Big Data Clustering Strategy for Business
 
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Short and insightful explanation on how Clustering Big Data strategies are used on Business using national flags. Other sectors that can benefit from it http://aquare.la/articles/2015/06/02/14-sectors-for-applying-big-data/ Aquarela Vortex Big Data page - http://aquare.la/vortex Credits Images - www.deviantart.com Dynamics - www.prezi.com Aquarela - www.aquare.la
How to run cluster analysis in Excel
 
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A step by step guide of how to run k-means clustering in Excel. Please note that more information on cluster analysis and a free Excel template is available at http://www.clusteranalysis4marketing.com
Views: 75420 MktgStudyGuide
Data Mining Presentation
 
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Brief overview of data mining
Views: 207 mgiuliano8198
Clustering (2): Hierarchical Agglomerative Clustering
 
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Hierarchical agglomerative clustering, or linkage clustering. Procedure, complexity analysis, and cluster dissimilarity measures including single linkage, complete linkage, and others.
Views: 72341 Alexander Ihler
Weka Data Mining Tutorial for First Time & Beginner Users
 
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23-minute beginner-friendly introduction to data mining with WEKA. Examples of algorithms to get you started with WEKA: logistic regression, decision tree, neural network and support vector machine. Update 7/20/2018: I put data files in .ARFF here http://pastebin.com/Ea55rc3j and in .CSV here http://pastebin.com/4sG90tTu Sorry uploading the data file took so long...it was on an old laptop.
Views: 415990 Brandon Weinberg
How SOM (Self Organizing Maps) algorithm works
 
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In this video I describe how the self organizing maps algorithm works, how the neurons converge in the attribute space to the data. It is important to state that I used a very simple map with only two neurons, and I didn't show the connection between the neurons to simplify the video.
Views: 121667 Thales Sehn Körting
Supervised & Unsupervised Learning
 
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In this video you will learn what are the differences between Supervised Learning & Unsupervised learning in the context of Machine Learning. Linear regression, Logistic regression, SVM, random forest are the supervised learning algorithms. For all videos and Study packs visit : http://analyticuniversity.com/ Analytics University on Facebook : https://www.facebook.com/AnalyticsUniversity Logistic Regression in R: https://goo.gl/S7DkRy Logistic Regression in SAS: https://goo.gl/S7DkRy Logistic Regression Theory: https://goo.gl/PbGv1h Time Series Theory : https://goo.gl/54vaDk Time ARIMA Model in R : https://goo.gl/UcPNWx Survival Model : https://goo.gl/nz5kgu Data Science Career : https://goo.gl/Ca9z6r Machine Learning : https://goo.gl/giqqmx
Views: 49845 Analytics University
data mining fp growth | data mining fp growth algorithm | data mining fp tree example | fp growth
 
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In this video FP growth algorithm is explained in easy way in data mining Thank you for watching share with your friends Follow on : Facebook : https://www.facebook.com/wellacademy/ Instagram : https://instagram.com/well_academy Twitter : https://twitter.com/well_academy data mining algorithms in hindi, data mining in hindi, data mining lecture, data mining tools, data mining tutorial, data mining fp tree example, fp growth tree data mining, fp tree algorithm in data mining, fp tree algorithm in data mining example, fp tree in data mining, data mining fp growth, data mining fp growth algorithm, data mining fp tree example, data mining fp tree example, fp growth tree data mining, fp tree algorithm in data mining, fp tree algorithm in data mining example, fp tree in data mining, data mining, fp growth algorithm, fp growth algorithm example, fp growth algorithm in data mining, fp growth algorithm in data mining example, fp growth algorithm in data mining examples ppt, fp growth algorithm in data mining in hindi, fp growth algorithm in r, fp growth english, fp growth example, fp growth example in data mining, fp growth frequent itemset, fp growth in data mining, fp growth step by step, fp growth tree
Views: 90801 Well Academy
k mean clustering algorithm  شرح
 
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Data Mining شرح K mean Clustering Algorithm
Views: 43745 Emad Tolba
How K-Nearest Neighbors (kNN) Classifier Works
 
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My web page: www.imperial.ac.uk/people/n.sadawi
Views: 84907 Noureddin Sadawi
Efficient Algorithms Mining Top-K High Utility Itemsets | Final Year Projects 2016 - 2017
 
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Including Packages ======================= * Base Paper * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support * Toll Free Support * Call Us:+91 967-774-8277, +91 967-775-1577, +91 958-553-3547 Shop Now @ http://clickmyproject.com Get Discount @ https://goo.gl/dhBA4M Chat Now @ http://goo.gl/snglrO Visit Our Channel: https://www.youtube.com/user/clickmyproject Mail Us: [email protected]
Views: 117 ClickMyProject
Hierarchical Clustering 3: single-link vs. complete-link
 
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[http://bit.ly/s-link] Agglomerative clustering needs a mechanism for measuring the distance between two clusters, and we have many different ways of measuring such a distance. We explain the similarities and differences between single-link, complete-link, average-link, centroid method and Ward's method.
Views: 70199 Victor Lavrenko
Introduction to Genetic Algorithms
 
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A brief introduction to genetic algorithms with examples.
Views: 125125 chriskam1250
Decision Tree Induction (in Hindi)
 
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This Video is about Decision Tree Classification in Data Mining.
Views: 10749 Red Apple Tutorials
INTRODUCTION TO DATA MINING IN HINDI
 
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Buy Software engineering books(affiliate): Software Engineering: A Practitioner's Approach by McGraw Hill Education https://amzn.to/2whY4Ke Software Engineering: A Practitioner's Approach by McGraw Hill Education https://amzn.to/2wfEONg Software Engineering: A Practitioner's Approach (India) by McGraw-Hill Higher Education https://amzn.to/2PHiLqY Software Engineering by Pearson Education https://amzn.to/2wi2v7T Software Engineering: Principles and Practices by Oxford https://amzn.to/2PHiUL2 ------------------------------- find relevant notes at-https://viden.io/
Views: 98393 LearnEveryone
How SVM (Support Vector Machine) algorithm works
 
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In this video I explain how SVM (Support Vector Machine) algorithm works to classify a linearly separable binary data set. The original presentation is available at http://prezi.com/jdtqiauncqww/?utm_campaign=share&utm_medium=copy&rc=ex0share
Views: 453748 Thales Sehn Körting
Tutorial: Data Analytics with R: Sample Project Presentation on Cluster Analysis
 
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This video shows an example of how to create a simple presentation for a data analytics or data mining project. This particular project deals with cluster analysis for market segmentation for a large U.S. retailer, but the same outline could be used for virtually any type of data mining project. The video discusses the various sections of the presentation, and how to express your data mining results in a way that will communicate well with business audiences. The presentation uses the following agenda: - Problem Statement - Model Selection - Solution Process - Research - Software Development - Visualization - Model Results - Results Interpretation - Situation Comparison - Conclusion - Recommendation
Views: 89 Stephan Sorger
How kNN algorithm works
 
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In this video I describe how the k Nearest Neighbors algorithm works, and provide a simple example using 2-dimensional data and k = 3.
Views: 337630 Thales Sehn Körting
Seminar on Neural Network - Datamining
 
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Presented by Karthik A
Views: 962 Karthik Gowda
Learning From Data (Data Mining) Presentation
 
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This video explain how data processes in machine and how the machine learn from human. Machine Learning Artificial Intelligence Data Mining Information Technology Data Techniques Technology 2017 Machine Learning Human learning Data Process Algorithms Learning Algorithms Machine Learning Algorithms
Views: 466 M Rukhshan Ali
Clustering Using Representatives [CURE]
 
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Big Data Analytics For more http://www.anuradhabhatia.com
Views: 5812 Anuradha Bhatia
Data Mining Presentation
 
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Data Mining Presentation
Views: 760 Suyun Wang
Cluster based WSNs projects | Network simulator2 projects
 
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Cluster based WSNs projects.Clustering is an effective and practical way to enhance the system performance of WSNs. clustering in WSNs can greatly contribute to overall system scalability, lifetime, and energy efficiency http://networksimulator2.com Clustering parameters: • Number of clusters • Node and CHs mobility • Intra cluster communication • Node types and roles • Algorithm complexity • Cluster head selection • Cluster formation methodology • Overlapping • Multiple levels Types of clustering algorithm: • Probabilistic (random or hybrid) clustering algorithms • Non-probabilistic clustering algorithms Cluster-based WSNs concepts: • Secure and efficient data transmission in WSNs • Constructing energy efficient routing scheme • Cluster based key management technique • Presentation of a taxonomy of typical clustering schemes • Survey of variable convergence time clustering protocols and constant convergence time clustering algorithms in WSNs • Comparison of popular clustering methods Discussion of CH selection strategies based on the classification of deterministic scheme, adaptive scheme and combined metric scheme • Comparison of the costs of CH selection with respect to cluster formation, distribution of CHs and creation of clusters etc. Wireless sensor networks are ad hoc networks comprised mainly of small sensor nodes with limited resources, large-scale, low-cost, automated sensing and monitoring of different environments of interest. scalability and energy efficiency security to cluster-based communication protocols for homogeneous wireless sensor networks symmetric-key Subscribe us Facebook :https://www.facebook.com/Networksimulatorprojects-1634430183461874 Twitter :https://twitter.com/ns2simulatorRT Google+ :https://plus.google.com/u/0/b/103707514455213973852/ Pinterest :https://in.pinterest.com/ns2projects/ Youtube :https://www.youtube.com/channel/UCvDb7e1GA4FwTRCIFJ7YXHw Flickr :https://www.flickr.com/photos/[email protected]/ Vimeo:https://vimeo.com/networksimulator2project/videos Dailymotion:http://www.dailymotion.com/networksimulator2projectteam visit us :http://networksimulator2.com/ NS2 PROJECTS---------------http://networksimulator2.com/ns2-projects/ NS2 ATTACK----------------http://networksimulator2.com/ns2-attack/ NS2 WORMHOLE ATTACK---------http://networksimulator2.com/ns2-wormhole-attack/ NS2 DDOS ATTACK----------http://networksimulator2.com/ns2-ddos-attack/ NS2 SIMULATION PROJECTS---------http://networksimulator2.com/ns2-simulation-projects/ NS2 WIRELESS PROJECTS-----------http://networksimulator2.com/ns2-wireless-projects/ WIRELESS COMMUNICATION NS2 PROJECTS----------http://networksimulator2.com/wireless-communication-ns2-projects/ WIRELESS NETWORK SIMULATION IN NS2------------http://networksimulator2.com/wireless-network-simulation-in-ns2/ WIRELESS SENSOR NETWORKS PROJECTS IN NS2-----------http://networksimulator2.com/wireless-sensor-networks-projects-in-ns2/
Views: 2756 networksimulator2
Machine Learning Algorithms
 
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In this video I will be discussing most popular and commonly used machine learning algorithms. If you require the ppt slides you can email me: [email protected] I will be covering: Supervised ML: Classification, Regression, Neural Network ,Deep Learning Supporting Algorithms: Dimensionality Reduction, Ensemble Unsupervised ML: Association Rule, Clustering Link to my book: https://www.amazon.com/Business-Analytics-Using-Practical-Approach/dp/1484225139