Joint Linear Regression and Nonnegative Matrix Factorization Based on Self-Organized Graph for Image Clustering and Classification

Joint Linear Regression and Nonnegative Matrix Factorization Based on Self-Organized Graph for Image Clustering and Classification

Nonnegative matrix factorization (NMF) technique has been developed successfully to represent the intuitively meaningful feature of data. A suitable representation can faithfully preserve the intrinsic structure of data. Due to the fact that it introduces the label information, semi-supervised NMF h...

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Bibliographic Details
Main Authors: Wenjie Zhu, Yunhui Yan
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Nonnegative matrix factorization
linear regression
self-organized graph
semi-supervised clustering and classification
Online Access:https://ieeexplore.ieee.org/document/8408457/

Internet

https://ieeexplore.ieee.org/document/8408457/

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