发明名称 |
Methods and systems for biclustering algorithm |
摘要 |
Methods and systems for improved unsupervised learning are described. The unsupervised learning can consist of biclustering a data set, e.g., by biclustering subsets of the entire data set. In an example, the biclustering does not include feeding know and proven results into the biclustering methodology or system. A hierarchical approach can be used that feeds proven clusters back into the biclustering methodology or system as the input. Data that does not cluster may be discarded. Thus, a very large unknown data set can be acted on to learn about the data. The system is also amenable to parallelization.
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申请公布号 |
US2012221573(A1) |
申请公布日期 |
2012.08.30 |
申请号 |
US201213385042 |
申请日期 |
2012.01.30 |
申请人 |
WUNSCH, II DONALD COOLIDGE;XU RUI;KIM SEJUN;THE CURATORS OF THE UNIVERSITY OF MISSOURI |
发明人 |
WUNSCH, II DONALD COOLIDGE;XU RUI;KIM SEJUN |
分类号 |
G06F17/30 |
主分类号 |
G06F17/30 |
代理机构 |
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