发明名称 |
Gaussian mixture models in a data mining system |
摘要 |
A computer-implemented data mining system that analyzes data using Gaussian Mixture Models. The data is accessed from a database, and then an Expectation-Maximization (EM) algorithm is performed in the computer-implemented data mining system to create the Gaussian Mixture Model for the accessed data. The EM algorithm generates an output that describes clustering in the data by computing a mixture of probability distributions fitted to the accessed data.
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申请公布号 |
US2002129038(A1) |
申请公布日期 |
2002.09.12 |
申请号 |
US20000740119 |
申请日期 |
2000.12.18 |
申请人 |
CUNNINGHAM SCOTT WOODROOFE |
发明人 |
CUNNINGHAM SCOTT WOODROOFE |
分类号 |
G06F17/30;G06K9/62;(IPC1-7):G06F17/30 |
主分类号 |
G06F17/30 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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