Vertical 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...

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Bibliographic Details
Main Authors ORDONEZ CARLOS, CEREGHINI PAUL M
Format Patent
LanguageEnglish
Published 11.02.2003
Edition7
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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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: US20000747857