Gradient Descent Batch Clustering for Image Classification

The batch clustering algorithm for classification application requires the initial parameters and also has a drifting phenomenon for the stochastic process. The initial parameters are critical for the clustering to con-verge to the partial optimum. The drifting phenomenon in original batch clusterin...

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Bibliographic Details

Published in:	Image analysis & stereology Vol. 42; no. 2; pp. 133 - 144
Main Author:	Park, Jae-Sam
Format:	Journal Article
Language:	English
Published:	Slovenian Society for Stereology and Quantitative Image Analysis 10.07.2023
Subjects:	batch clustering gradient descent image classification principal component analysis stochastic process
ISSN:	1580-3139, 1854-5165
Online Access:	Get full text
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