Iterative supervised identification of non-dominant clusters

Iterative supervised identification of non-dominant clusters

A method comprising determining a binary classification value for each of a plurality of data instances based on a first threshold value assigned to each of the plurality of data instances; applying at least one clustering model to a first subset of the plurality of data instances to identify one or...

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Hauptverfasser: Singh, Vivek K, Sastry, Kumara, Baidya, Bikram, Kagalwalla, Abde Ali Hunaid, Gu, Allan
Format: Patent
Sprache:eng
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CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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creator Singh, Vivek K
Sastry, Kumara
Baidya, Bikram
Kagalwalla, Abde Ali Hunaid
Gu, Allan
description A method comprising determining a binary classification value for each of a plurality of data instances based on a first threshold value assigned to each of the plurality of data instances; applying at least one clustering model to a first subset of the plurality of data instances to identify one or more dominant clusters of data instances; determining a second threshold value to assign to a second plurality of data instances that are included within the one or more dominant clusters of data instances; and redetermining a binary classification value for each of the plurality of data instances based on the second threshold value assigned to the second plurality of data instances and the first threshold value, wherein the first threshold value is assigned to at least a portion of data instances of the plurality of data instances that are not included in the second plurality of data instances.
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subjects CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
title Iterative supervised identification of non-dominant clusters
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