Eigencluster: A Divide-and-merge Method for Finding Innate Clusterings on-the-fly
Invention type: Technology
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Case number: #11626J
Described are techniques for clustering a data set of objects. Divide phase processing is performed to partition the data set into two or more partitions forming a hierarchy of the objects. Merge phase processing may be performing using the hierarchy to determine one or more disjoint clusters of objects of the data set. Optional preprocessing may be performed to determine weights for one or more features of an object.
Researchers
Ravi Kannan
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Grant Wang
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David Cheng
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Santosh Vempala
Technology Areas: Artificial Intelligence (AI) and Machine Learning (ML) / Computer Science: Bioinformatics
Impact Areas: Advanced Materials
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techniques for clustering a set of objects
United States of America | Granted | 7,752,233
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