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...
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| Main Authors | , |
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| Format | Patent |
| Language | English |
| Published |
02.09.2003
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| Edition | 7 |
| Subjects | |
| Online Access | Get full text |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | ORDONEZ CARLOS CEREGHINI PAUL M |
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| Snippet | A method for performing cluster analysis inside a relational database management system. The method defines a plurality of tables for the storage of data... |
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| SubjectTerms | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| Title | Horizontal implementation of expectation-maximization algorithm in SQL for performing clustering in very large databases |
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