In this work we present a new implementation of an MCMC EM algorithm for the calculation of clustering in large tables, implemented inside the DBMS, using ...

In this work we present an SQL implementation of an algorithm merging Markov Chain Monte Carlo methods with the EM algorithm to find qualitatively better ...

In this work we present an SQL implementation of an algorithm merging Markov Chain Monte Carlo methods with the EM algorithm to find qualitatively better ...

An efficient algorithm is introduced that combines elements of the EM and MCMC methods to find clustering solutions that are qualitatively better than those ...

In this work we present an algorithm merging Markov Chain Monte Carlo methods with the EM algorithm to find qualitatively better solutions for the clustering ...

Oct 27, 2013 · With that motivation in mind, we introduce an efficient algorithm that combines elements of the EM and MCMC methods to find clustering solutions ...

In this work we present an algorithm merging Markov Chain Monte Carlo methods with the EM algorithm to find qualitatively better solutions for the clustering ...

This paper presents an efficient SQL implementation of the EM algorithm to perform clustering in very large databases that can effectively handle high ...

A Clustering Algorithm Merging MCMC and EM Methods Using SQL Queries. DS Matusevich, C Ordonez. Proceedings of the 3rd International Workshop on Big Data ...

In this work we present an SQL implementation of an algorithm merging Markov Chain Monte Carlo methods with the EM algorithm to find qualitativel... View.