Matlab implementation of A Feature-reduction Multi-view K-means Clustering Algorithm
https://www.academia.edu/40065647/A_feature-reduction_multi-view_k-means_clustering_algorithm
The Image segmentation (IS) dataset contains 2310 instances of seven outdoor images. These seven outdoor images are Brickface, Sky, Foliage, Cement, Window, Path, and Grass. Each image is represented by two different views: 9 features of the shape information and ten features of the RGB color model.
http://archive.ics.uci.edu/ml/datasets/image+segmentation
When using the code in your research work, please cite "A feature-reduction multi-view k-means clustering algorithm" by Miin-Shen Yang and Kristina P. Sinaga
@article{yang2019feature,
title={A feature-reduction multi-view k-means clustering algorithm},
author={Yang, Miin-Shen and Sinaga, Kristina P},
journal={IEEE Access},
volume={7},
pages={114472--114486},
year={2019},
publisher={IEEE}
}
This work was supported by the Ministry of Science and Technology, Taiwan, under Grant MOST 107-2118-M-033-002-MY2