How to evaluate the performance of K-means?

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Salad Box
Salad Box 2019 年 12 月 4 日
編集済み: Adam Danz 2019 年 12 月 4 日
Hi,
I would like to evaluate the performance of k-means. I saw the below cost function (1) online, where wik=1 for data point xi if it belongs to cluster k; otherwise, wik=0. Also, μk is the centroid of xi’s cluster. But I don't know what 'm' is.
Does anyone understand what 'm' is in the below cost function?

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Adam Danz
Adam Danz 2019 年 12 月 4 日
編集済み: Adam Danz 2019 年 12 月 4 日
"...where wik=1 for data point xi..."
That would suggest that m is the number of data points since that summation is iterating over i.
Indeed, this is the correct interpretation (source).

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