低秩子空间聚类和加权核范数最小化低秩子空间聚类我要分享

Low rank subspace clustering and weighted kernel norm minimization low rank subspace clustering

LRR-MATLAB nuclear-norm 加权低秩 核范数 核范数最小化

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文件大小: 2179KB

代码分类: 仿真计算

开发平台: matlab

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代码描述

中文说明:

该程序可实现低秩子空间聚类和加权核范数最小化低秩子空间聚类。参考文献:Guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju Sun, Yong Yu, Yi Ma, Robust recovery of subspace structures by low-rank representation, IEEE T. Pattern Anal. 35(1) (2013) 171-184.


English Description:

The program can realize low rank subspace clustering and weighted kernel norm minimization low rank subspace clustering. References: guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju sun, Yong Yu, Yi Ma, robust recovery of subspace structures by low rank representation, IEEE T. pattern anal. 35 (1) (2013) 171-184. < br / >


代码预览

motion segmentation and face clustering by LRR and WNNM-LRR

...........................................................\code2

...........................................................\.....\compacc.m

...........................................................\.....\Hungarian.m

...........................................................\.....\loadmatfile.m

...........................................................\.....\lrra.m

...........................................................\.....\lrr_face_seg.m

...........................................................\.....\lrr_motion_seg.m

...........................................................\.....\missclassGroups.m

...........................................................\.....\solve_lrr.m

...........................................................\.....\yaleb10.mat

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