Title

Methods and systems for biclustering algorithm

Abstract

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.

Department(s)

Electrical and Computer Engineering

Research Center/Lab(s)

Center for High Performance Computing Research

Patent Application Number

US 13/385,042

Patent Number

US9043326 B2

Document Type

Patent

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2015 The Curators of the University of Missouri, All rights reserved.

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