Abstract: The purpose of this study is to derive an upper-bound and a lower-bound of the entropy of a multinomial distribution. In spite of its practicality and versatility, there is no closed-form ...

This type of model applies to cases where an observation can fall into one of k categories. Binary data occurs in the special case where k=2. If there are m i observations in a subpopulation i, then ...

Welcome to the Language Detection using Multinomial Naive Bayes program! This Python project provides a hands-on demonstration of how to harness the power of the Multinomial Naive Bayes algorithm for ...

Abstract: In this paper, we present an overdispersed count data clustering algorithm, which uses the mesh method for computing the log-likelihood function, of the multinomial Beta-Liouville ...