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SSE and Silhouette Value for Evaluate K-means

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Shahrooz Andrea
Shahrooz Andrea am 16 Dez. 2017
Beantwortet: Ting Su am 20 Dez. 2017
Hi, I wrote a program that uses k-means for clustering data, my data is 2D and in range(-2, 2). I want to know how SSE and Silhouette Value works to find optimum "k"?? Besides I want to write a code and don't want to use built-in functions. Thanks

Antworten (1)

Ting Su
Ting Su am 20 Dez. 2017
The silhouette value can be used to estimate the number of clusters. Function “evalclusters†also provides a few other criteria to estimate the optimal number of clusters. SSE is the measure that K-means tries to minimize when the number of clusters is given. It can’t be used to estimate the number of clusters because SSE values are monotonically non-decreasing as the numbers of clusters increases.

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