Assigning a new data point to a cluster in hierarchical clustering

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Sepp
Sepp 2016 年 5 月 3 日
コメント済み: Sepp 2016 年 5 月 4 日
Hello
I have clustered my data X with hierarchical clustering in the following way:
Y = pdist(X);
Z = linkage(Y);
T = cluster(Z,'maxclust',2);
How can I determine to which cluster a new data point (not in X) should be assigned to? For k-means one can just assign the data point to the cluster with the nearest centroid but for hierarchical clustering I don't see how to do it.

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MHN
MHN 2016 年 5 月 4 日
If you know your maxclust is 2, then just use 2-means. Hierarchical clustering and linkage will give you an insight about the number of natural clusters in your data. When you found that k' (e.g. using 'cutoff') based on hierarchical clustering, you can use k'-mean.
  1 件のコメント
Sepp
Sepp 2016 年 5 月 4 日
Thanks for your answer. I don't know that maxclust has to be 2, it was just an example. How can I find out which number of clusters my data naturally has with hierarchical clustering?

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