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An implementation of the gap statistic, a method for estimating the number of clusters in a set of data.
K-Means++ Clustering using Gap Statistic for determining optimal value of K in Python
Estimating the number of clusters in a data set via the gap statistic. Implemented in H2O-3
Repository for my master thesis content - Bag Of features for text detection in natural scene images
K-means as an unsupervised machine learning technique. Customer Segmentation Case.
Density Estimation, HMM Signature Verification, K-Means and Gap Statistics, Random Forests
Supervised and unsupervised analysis
Modified gap statistic (gap-com) for regularization selection of sparse networks. This method is aimed for complex network estimation.