Convex Nonnegative Matrix Factorization with Rank-1 Update for Clustering

Rafał Zdunek

doi:10.1007/978-3-319-19369-4_6

ScienceGate Book Chapters

BOOK-CHAPTER

Convex Nonnegative Matrix Factorization with Rank-1 Update for Clustering

Rafał Zdunek

Year: 2015 Lecture notes in computer science Pages: 59-68 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-319-19369-4_6

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Non-negative matrix factorization Regular polygon Rank (graph theory) Cluster analysis Factorization Matrix decomposition Combinatorics Algorithm Artificial intelligence Mathematics Geometry Physics

Metrics

Cited By

0.39

FWCI (Field Weighted Citation Impact)

Refs

0.48

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Blind Source Separation Techniques

Physical Sciences → Computer Science → Signal Processing

Convex Nonnegative Matrix Factorization with Rank-1 Update for Clustering

Metrics

Citation History

Topics

Related Documents

Subspace clustering guided convex nonnegative matrix factorization

Parallel Hierarchical Clustering using Rank-Two Nonnegative Matrix Factorization

Constrained Clustering With Nonnegative Matrix Factorization

Convex-Nonnegative Matrix Factorization with structure constraints

Convex nonnegative matrix factorization with manifold regularization