"Methods and Systems for Biclustering Algorithm" by Donald C. Wunsch, Rui Xu et al.
 

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

US13/385,042

Patent Number

US9043326B2

Document Type

Patent

Document Version

Final Version

File Type

text

Language(s)

English

Rights

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

Publication Date

26 May 2015

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