Cluster data using the X-means algorithm. X-Means is K-Means extended by an Improve-Structure part In this part of the algorithm the centers are attempted […]
CHIRP is an iterative sequence of three stages (projecting, binning, and covering) that are designed to deal with the curse of dimensionality, computational […]
Weka LogisticBase (3.7)
Class for building and using a Discriminative Multinomial Naive Bayes classifier
Class implementing the FP-growth algorithm for finding large item sets without candidate generation
Class for building and using a multinomial Naive Bayes classifier
Class for building and using a multinomial Naive Bayes classifier
This class is an implementation of the Ordinal Stochastic Dominance Learner. Further information regarding the OSDL-algorithm can be found in: S
Generates a decision list for regression problems using separate-and-conquer
Implements John Platt's sequential minimal optimization algorithm for training a support vector classifier. This implementation globally replaces all […]