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I have some dots in a 3 dimensional space and would like to cluster them. I know Pythons module "cluster", but it has only K-Means. Do you know a module which has FCM (Fuzzy C-Means)?
(If you know some other python modules which are related to clustering you could name them as a bonus. But the important question is the one for a FCM-algorithm in python.)
Matlab
It seems to be quite easy to use FCM in Matlab (example). Isn't something like this available for Python?
NumPy, SciPy and Sage
I didn't find FCM in NumPy, SciPy or Sage. I've downloaded the documentation and searched for it. No results
Python-cluster
It seems like the cluster module will add fuzzy C-Means with the next version (see Roadmap). But I need it now
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Fuzzy c-means clustering has can be considered a better algorithm compared to the k-Means algorithm. Unlike the k-Means algorithm where the data points exclusively belong to one cluster, in the case of the fuzzy c-means algorithm, the data point can belong to more than one cluster with a likelihood.
FCM is an unsupervised learning algorithm, which performs the classification of data samples without utilizing the class label information.
Fuzzy c-means (FCM) is a data clustering technique in which a data set is grouped into N clusters with every data point in the dataset belonging to every cluster to a certain degree.
K means clustering cluster the entire dataset into K number of cluster where a data should belong to only one cluster. Fuzzy c-means create k numbers of clusters and then assign each data to each cluster, but their will be a factor which will define how strongly the data belongs to that cluster.
PEACH will provide some Fuzzy C-Means functionality: http://code.google.com/p/peach/
However there doesn't seem to be any usable documentation as the wiki is empty. An example for using FCM with PEACH can be found on its website.
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