Clustering. Gilad Lerman Math Department, UMN. Slides/figures stolen from M.-A. Dillies, E. Keogh, A. Moore. What is Clustering?. Partitioning data into classes with high intra-class similarity low inter-class similarity Is it well-defined?. What is Similarity?.
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Math Department, UMN
Slides/figures stolen from M.-A. Dillies, E. Keogh, A. Moore
high intra-class similarity
low inter-class similarity
Within Cluster Sum of Squares:
Idea: embed data for easy clustering
(Normalize W )
length & width of sepal and petal
(need training set as done by Fischer in 1936)