Adaptive weighted least squares regression for subspace clustering

Noura Bouhlel; Ghada Feki; Chokri Ben Amar

doi:10.1007/s10115-021-01612-1

ScienceGate Book Chapters

JOURNAL ARTICLE

Adaptive weighted least squares regression for subspace clustering

Noura Bouhlel Ghada Feki Chokri Ben Amar

Year: 2021 Journal: Knowledge and Information Systems Vol: 63 (11)Pages: 2883-2900 Publisher: Springer Science+Business Media

DOI: 10.1007/s10115-021-01612-1

Get Full-Text PDF Get Analytical Report

Keywords:

Cluster analysis Interpretability Mathematics Graph Subspace topology Regression Pattern recognition (psychology) Representation (politics) Artificial intelligence Computer science Locality Data mining Statistics Combinatorics

Metrics

Cited By

0.31

FWCI (Field Weighted Citation Impact)

Refs

0.57

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

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Advanced Clustering Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Adaptive weighted least squares regression for subspace clustering

Metrics

Citation History

Topics

Related Documents

Block Diagonal Least Squares Regression for Subspace Clustering

Locality-constrained least squares regression for subspace clustering

Subspace clustering by weighted correlation adaptive regression

Weighted Least Squares Regression

weighted least squares regression