87361043sparse-subspace-clustering
所属分类：数值算法/人工智能
开发工具：matlab
文件大小：9807KB
下载次数：26
上传日期：2018-05-18 16:15:40
上 传 者：
llll66
说明： SSC经典的稀疏子空间聚类算法，matlab代码，可用于图像分割，图像识别等
(SSC based matlab,can be used for image segmentation,image recognization and so on)
文件列表:
sparse subspace clustering (0, 2015-09-18)
sparse subspace clustering\5Sparse Subspace Clustering.pdf (2161767, 2015-09-18)
sparse subspace clustering\SSC_1.0 (0, 2015-09-18)
sparse subspace clustering\SSC_1.0\BuildAdjacency.m (1036, 2010-03-02)
sparse subspace clustering\SSC_1.0\DataProjection.m (1505, 2010-03-02)
sparse subspace clustering\SSC_1.0\Misclassification.m (734, 2010-03-02)
sparse subspace clustering\SSC_1.0\OutlierDetection.m (1322, 2010-03-02)
sparse subspace clustering\SSC_1.0\SSC.m (3116, 2010-07-16)
sparse subspace clustering\SSC_1.0\SparseCoefRecovery.m (3615, 2010-07-16)
sparse subspace clustering\SSC_1.0\SpectralClustering.m (2037, 2010-03-02)
sparse subspace clustering\SSC_1.0\missclassGroups.m (1099, 2010-03-02)
sparse subspace clustering\SSC_ADMM_v1.1 (0, 2015-09-18)
sparse subspace clustering\SSC_ADMM_v1.1\SSC_ADMM_v1.1 (0, 2015-09-18)
sparse subspace clustering\SSC_ADMM_v1.1\SSC_ADMM_v1.1\.DS_Store (6148, 2012-10-03)
sparse subspace clustering\SSC_ADMM_v1.1\SSC_ADMM_v1.1\BuildAdjacency.m (969, 2012-10-02)
sparse subspace clustering\SSC_ADMM_v1.1\SSC_ADMM_v1.1\DataProjection.m (733, 2012-10-04)
sparse subspace clustering\SSC_ADMM_v1.1\SSC_ADMM_v1.1\Misclassification.m (747, 2012-10-02)
sparse subspace clustering\SSC_ADMM_v1.1\SSC_ADMM_v1.1\SSC.m (1189, 2012-10-04)
sparse subspace clustering\SSC_ADMM_v1.1\SSC_ADMM_v1.1\SpectralClustering.m (1218, 2012-10-02)
sparse subspace clustering\SSC_ADMM_v1.1\SSC_ADMM_v1.1\YaleBCrop025.mat (8018017, 2012-06-29)
sparse subspace clustering\SSC_ADMM_v1.1\SSC_ADMM_v1.1\admmLasso_mat_func.m (3427, 2012-10-05)
sparse subspace clustering\SSC_ADMM_v1.1\SSC_ADMM_v1.1\admmOutlier_mat_func.m (3980, 2012-10-05)
sparse subspace clustering\SSC_ADMM_v1.1\SSC_ADMM_v1.1\computeLambda_mat.m (678, 2012-10-02)
sparse subspace clustering\SSC_ADMM_v1.1\SSC_ADMM_v1.1\errorCoef.m (548, 2012-10-02)
sparse subspace clustering\SSC_ADMM_v1.1\SSC_ADMM_v1.1\errorLinSys.m (825, 2012-10-02)
sparse subspace clustering\SSC_ADMM_v1.1\SSC_ADMM_v1.1\matrixNormalize.m (580, 2012-10-03)
sparse subspace clustering\SSC_ADMM_v1.1\SSC_ADMM_v1.1\missclassGroups.m (1099, 2012-10-02)
sparse subspace clustering\SSC_ADMM_v1.1\SSC_ADMM_v1.1\run_SSC_Faces.m (1362, 2012-10-05)
sparse subspace clustering\SSC_ADMM_v1.1\SSC_ADMM_v1.1\run_SSC_MS.m (2863, 2012-10-05)
sparse subspace clustering\SSC_ADMM_v1.1\SSC_ADMM_v1.1\thrC.m (680, 2012-10-03)
sparse subspace clustering\SSC_ADMM_v1.1\__MACOSX (0, 2015-09-18)
sparse subspace clustering\SSC_ADMM_v1.1\__MACOSX\SSC_ADMM_v1.1 (0, 2015-09-18)
sparse subspace clustering\SSC_ADMM_v1.1\__MACOSX\SSC_ADMM_v1.1\._.DS_Store (82, 2012-10-03)
sparse subspace clustering\SSC_ADMM_v1.1\__MACOSX\SSC_ADMM_v1.1\._BuildAdjacency.m (717, 2012-10-02)
sparse subspace clustering\SSC_ADMM_v1.1\__MACOSX\SSC_ADMM_v1.1\._DataProjection.m (369, 2012-10-04)
sparse subspace clustering\SSC_ADMM_v1.1\__MACOSX\SSC_ADMM_v1.1\._Misclassification.m (720, 2012-10-02)
sparse subspace clustering\SSC_ADMM_v1.1\__MACOSX\SSC_ADMM_v1.1\._SSC.m (706, 2012-10-04)
... ...
Please run SSC.m to see the results.
You can refer to the comments in the beginning of each m-file for more information.
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