Hello everybody,
while reading a paper I just came across the term "k-medoid clustering" which
seems to be the same as k-median clustering. I did not look to thoroughly
into this but it might be an idea to think about including this algorithm.
Another idea that I just had was offering the opportunity to project data to
the first three principal components when visualizing clustering processes of
greater than three dimensional data. As I have used PCA already a couple of
times and as it is really not much more than an eigenvector analysis of the
correlation (or covariance) matrix of the data I might implement it in the
near future.
Kind regards, Jonas.
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