Regularized Non-negative Spectral Embedding for Clustering

This is the code of the proposed clustering algorithm of paper <Regularized Non-negative Spectral Embedding for Clustering>.

Yifei Wang, Rui Liu, Yong Chen (corresponding), Hui Zhang, Zhiwen Ye: Regularized Non-Negative Spectral Embedding for Clustering. ICTAI 2019: 493-500.

There are 5 matlab files here.

The file ClusteringMeasure.m outputs the acc, NMI and purity of the clustering result.

Save datasets in a dimension * number double matrix and label in an 1 * number vector. And put the .mat file in test_data. The data_fetch.m file will fetch the data automatically.

The file Example.m shows that how to use the code.

The file RNSE.m is the code of RNSE and the fuction to construct W for it.

use_single_rnse file call the data_fetch.m file to fetch data for RNSE.m and call the ClusteringMeasure.m to calculate the acc, NMI and purity of the clustering result.