Chapter 7: Cluster Analysis — Data Warehousing and Data Mining (CSC420) Notes

Types of data in cluster analysis, Similarity and dissimilarity between objects, Clustering techniques: Partitioning (k-means, k-means++, Mini-Batch k-means, k-medoids).

Core Course
Ch. 7: Cluster Analysis

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Ch. 6: Classification and PredictionCh. 8: Graph Mining and Social Network Analysis

Topics & Key Objectives in Chapter 7

Types of data in cluster analysisSimilarity and dissimilarity between objectsClustering techniques: Partitioning (k-meansk-means++Mini-Batch k-meansk-medoids).

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