Transcription of K-means Algorithm
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K-means Algorithm
3/22/2012. K-means Algorithm g Cluster Analysis in Data Mining Presented by Zijun Zhang Algorithm Description What is Cluster Analysis? Cluster analysis groups data objects based only on information found in data that describes the objects and their relationships. Goal of Cluster Analysis The objects j within a group g p be similar to one another and different from the objects in other groups 1. 3/22/2012. Algorithm Description Types of Clustering Partitioning and Hierarchical Clustering Hierarchical Clustering - A set of nested clusters organized as a hierarchical tree Partitioningg Clusteringg - A division data objects into non-overlapping subsets (clusters) such that each data object is in exactly one subset Algorithm Description p1. p3 p4. p2. A Partitional Clustering Hierarchical Clustering 2.
Visualization of vibration under normal condition 14 4 6 8 10 12 Wind speed (m/s) 0 2 0 20 40 60 80 100 120 140 Drive train acceleration Reference 1. Introduction to Data Mining, P.N. Tan, M. Steinbach, V. Kumar, Addison Wesley 2. An efficient k-means clustering algorithm: Analysis and implementation, T. Kanungo, D. M.
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