I am unable to find the details of matlab's k-mean about seeds. That if matlab's k-mean recomputes the cluster assignment of Xs seeds, which is subset of data set X matrix.
Or these seeds are only used for initial centered location and are not considered in k-means cluster assignment phase?
I want to semi-supervised clustering by seeds by Sugato Basu et.al
It might be a naive question but your answer would make this confusion clearer.
Thanks in advance.
Did you check the documentation: doc kmeans? There they use the term initial cluster centroid positions to refer to seeds.
In particular, look at the parameter named start which is used to specify the seeds, and the replicates parameter. Also see the Algorithms section, where they discuss the two phases of the process (batch update and online update). Finally, and perhaps best of all, you can look at the code directly with edit kmeans, and step through it with the debugger.
It's not clear to me exactly what your question is but, from the above, I would answer that the seeds are calculated once according to the 'start' parameter, followed by the batch update and online update. This is repeated according to the 'replicates' parameter.
I don't know what "semi-supervised clustering by seeds" is, but I'm pretty sure it's not supported out of the box.
