calculation of the distances between the features of the same cluster
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Hello,
The k-means syntax
[IDX,C,sumd,D] = kmeans(X,k)
allows you to calculate the
1. within-cluster sums of point-to-centroid distances (sumd)
2. distances from each point to every centroid (D)
How can I calculate the within-cluster sums of point-to-point?
I am referring to the distances between the features (points) that belong to the same cluster, not to the distances between the features and the centroids (sumd).
Also, how can I calculate the distances between the centroids?
Thank you very much.
Best,
Pavlos
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Tom Lane
am 28 Feb. 2012
Distances between pairs of points in cluster 1:
squareform(pdist(X(IDX==1,:)))
Use something similar to compute distances between pairs of points in C.
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