PMSSC: Parallelizable multi-subset based self-expressive model for subspace clustering

PMSSC: Parallelizable multi-subset based self-expressive model for subspace clustering

Abstract Subspace clustering methods which embrace a self-expressive model that represents each data point as a linear combination of other data points in the dataset provide powerful unsupervised learning techniques. However, when dealing with large datasets, representation of each data point by re...

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Bibliographic Details
Main Authors: Katsuya Hotta, Takuya Akashi, Shogo Tokai, Chao Zhang
Format: Article
Language:English
Published: SpringerOpen 2023-03-01
Series:Computational Visual Media
Subjects:
subspace clustering
self-expressive model
big data
subsetting
Online Access:https://doi.org/10.1007/s41095-022-0293-5

Internet

https://doi.org/10.1007/s41095-022-0293-5

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