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Chap8 basic cluster_analysis
- 1. Data Mining Cluster Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 8 Introduction to Data Mining by Tan, Steinbach, Kumar © Tan,Steinbach, Kumar Introduction to Data Mining 4/18/2004
- 5. Notion of a Cluster can be Ambiguous How many clusters? Four Clusters Two Clusters Six Clusters
- 29. 10 Clusters Example Starting with two initial centroids in one cluster of each pair of clusters
- 30. 10 Clusters Example Starting with two initial centroids in one cluster of each pair of clusters
- 31. 10 Clusters Example Starting with some pairs of clusters having three initial centroids, while other have only one.
- 32. 10 Clusters Example Starting with some pairs of clusters having three initial centroids, while other have only one.
- 79. DBSCAN: Core, Border and Noise Points Original Points Point types: core , border and noise Eps = 10, MinPts = 4