Horizontal implementation of expectation-maximization algorithm in SQL for performing clustering in very large databases

A method for performing cluster analysis inside a relational database management system. The method defines a plurality of tables for the storage of data points and Gaussian mixture parameters and executes a series of SQL statements implementing an Expectation-Maximization clustering algorithm to it...

Full description

Saved in:
Bibliographic Details
Main Authors ORDONEZ CARLOS, CEREGHINI PAUL M
Format Patent
LanguageEnglish
Published 02.09.2003
Edition7
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
Online AccessGet full text

Cover

More Information
Summary:A method for performing cluster analysis inside a relational database management system. The method defines a plurality of tables for the storage of data points and Gaussian mixture parameters and executes a series of SQL statements implementing an Expectation-Maximization clustering algorithm to iteratively update the Gaussian mixture parameters stored within the tables.
Bibliography:Application Number: US20000747858