DETERMINING SIMILARITY SAMPLES USING A MACHINE LEARNING OPERATION WITH CLUSTERING

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United States of America Patent

APP PUB NO 20250117648A1
SERIAL NO

18482258

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Systems, methods, and software can be used to determine similarity samples. In some aspects, a method includes: obtaining a first feature vector of a sample; processing the first feature vector through a plurality of dimensionality reduction processes, wherein each of the plurality of dimensionality reduction processes generates a respective second feature vector, each of the second feature vectors has a smaller dimension than a dimension of the first feature vector; for each of the second feature vectors, determining an intermediate set of similarity samples; generating a plurality of clusters based on the intermediate sets of similarity samples; and generating an output set of similarity samples based on the plurality of clusters.

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Patent Owner(s)

Patent OwnerAddress
CYLANCE INC3001 BISHOP DRIVE SUITE 400 SAN RAMON CA 94583

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
COLLADO, UMANA Julian Irvine, CA 7 0
FIENBERG, Aaron Mark Tresch Irvine, CA 5 0

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