BTW, the Fuzzy-C-Means (FCM) clustering algorithm is also known as Soft K-Means. The objective functions are virtually identical, the only difference being the introduction of a vector which expresses the percentage of belonging of a given point to each of the clusters. This vector is submitted to a “stiffness” exponent aimed at giving more importance … Read more
There are only a few ML libraries that i have used enough so that i am comfortable recommending them; dlib ml is certainly one of them. Sourceforge download here; and bleeding-edge check-out: hg clone http://hg.code.sf.net/p/dclib/code dclib-code The original library creator and current maintainer is Davis King. Your wishlist versus the relevant dlib features: good documentation: … Read more
You can maximize the Bayesian Information Criterion (BIC): BIC(C | X) = L(X | C) – (p / 2) * log n where L(X | C) is the log-likelihood of the dataset X according to model C, p is the number of parameters in the model C, and n is the number of points in … Read more