Cluster-L15 - CSE 572 Data Mining Lecture Notes for Chapter...

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Unformatted text preview: CSE 572 Data Mining Lecture Notes for Chapter 8 Basic Cluster Analysis Introduction to Data Mining by Tan, Steinbach, Kumar Huan Liu, Spring 2010 © Tan,Steinbach, Kumar Introduction to Data Mining 2 What is Cluster Analysis? ● Finding groups of objects such that the objects in a group will be similar (or related) to one another and different from (or unrelated to) the objects in other groups Inter-cluster distances are maximized Intra-cluster distances are minimized © Tan,Steinbach, Kumar Introduction to Data Mining 3 Applications of Cluster Analysis ● Understanding – Group related documents for browsing, group genes and proteins that have similar functionality, or group stocks with similar price fluctuations ● Summarization – Reduce the size of large data sets Discovered Clusters Industry Group 1 Applied-Matl-DOWN,Bay-Network-Down,3-COM-DOWN, Cabletron-Sys-DOWN,CISCO-DOWN,HP-DOWN, DSC-Comm-DOWN,INTEL-DOWN,LSI-Logic-DOWN, Micron-Tech-DOWN,Texas-Inst-Down,Tellabs-Inc-Down, Natl-Semiconduct-DOWN,Oracl-DOWN,SGI-DOWN, Sun-DOWN Technology1-DOWN 2 Apple-Comp-DOWN,Autodesk-DOWN,DEC-DOWN, ADV-Micro-Device-DOWN,Andrew-Corp-DOWN, Computer-Assoc-DOWN,Circuit-City-DOWN, Compaq-DOWN, EMC-Corp-DOWN, Gen-Inst-DOWN, Motorola-DOWN,Microsoft-DOWN,Scientific-Atl-DOWN Technology2-DOWN 3 Fannie-Mae-DOWN,Fed-Home-Loan-DOWN, MBNA-Corp-DOWN,Morgan-Stanley-DOWN Financial-DOWN 4 Baker-Hughes-UP,Dresser-Inds-UP,Halliburton-HLD-UP, Louisiana-Land-UP,Phillips-Petro-UP,Unocal-UP, Schlumberger-UP Oil-UP Clustering precipitation in Australia © Tan,Steinbach, Kumar Introduction to Data Mining 4 What is not Cluster Analysis? ● Supervised classification – Have class label information ● Simple segmentation – Dividing students into different registration groups alphabetically, by last name ● Results of a query – Groupings are a result of an external specification © Tan,Steinbach, Kumar Introduction to Data Mining 5 Notion of a Cluster can be Ambiguous How many clusters? Four Clusters Two Clusters Six Clusters © Tan,Steinbach, Kumar Introduction to Data Mining 6 Types of Clusterings ● A clustering is a set of clusters ● Important distinction between hierarchical and partitional sets of clusters ● Partitional Clustering – A division of data objects into non-overlapping subsets (clusters) such that each data object is in exactly one subset ● Hierarchical clustering – A set of nested clusters organized as a hierarchical tree © Tan,Steinbach, Kumar Introduction to Data Mining 7 Partitional Clustering Original Points A Partitional Clustering © Tan,Steinbach, Kumar Introduction to Data Mining 8 Hierarchical Clustering p4 p1 p3 p2 p4 p1 p3 p2 p4 p1 p2 p3 p4 p1 p2 p3 Traditional Hierarchical Clustering Non-traditional Hierarchical Clustering Non-traditional Dendrogram Traditional Dendrogram © Tan,Steinbach, Kumar Introduction to Data Mining 9 Other Distinctions Between Sets of Clusters ● Exclusive versus non-exclusive...
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This note was uploaded on 04/08/2010 for the course CS 420 taught by Professor Dawsonengler during the Spring '02 term at San Jose State.

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Cluster-L15 - CSE 572 Data Mining Lecture Notes for Chapter...

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