问题
I am learning the K-medoids algorithm so I am sorry if I ask inappropriate questions. As I know,the K-medoids algorithm implements a K-means clustering but use actual data points to be centroid instead of mathematical calculated means.
As I googled online, I found a lot of k-means tools such as GenePattern, geWengh,...etc but not the k-medoids ones. Some nice friends has showed me that at Matlab, there is also one written by some user. However, I am afraid that personal implemented tool may still have some bugs or limitations. Thus, I am wondering if there is some widely used reliable open source software/tools which uses actual data points as centroids to cluster. I need to find out the information about actual centroids so only returning clustering results is not enough. I prefer website online ones but if this is not the case, I am ok to install it to my local machine. Thank you very much,
回答1:
A k-medoid implmentation in C is available in the C Clustering Library (source, Manual). (note that Cluster 3.0 is an extension of this library, and may not provide k-medoids)
From the manual:
In the C Clustering Library, three partitioning algorithms are available: • k-means clustering • k-medians clustering • k-medoids clustering
k-medoids in mlpy, Machine Learning library in Python
k-medoids in Matlab
k-medoids in Java
k-medoids in C++
回答2:
Software:
- ELKI includes several k-means variants, including K-medoids and PAM.
- GNU R includes on the "flexclust" package variants of k-means and on the "cluster" package.
Source: http://en.wikipedia.org/wiki/K-medoids
回答3:
For Python, I've found a package that implements PAM and Clara: PyCluster
来源：https://stackoverflow.com/questions/7667051/where-to-find-a-reliable-k-medoidnot-k-means-open-source-software-tool