@inproceedings{0491c49e61a2400aadbd4e433b931f9f,
title = "Image segmentation: A novel cluster ensemble algorithm",
abstract = "Cluster ensemble has testified to be a good choice for addressing cluster analysis issues, which is composed of two processes: creating a group of clustering results from a same data set and then combining these results into a final clustering results. How to integrate these results to produce a final one is a significant issue for cluster ensemble. This combination process aims to improve the quality of individual data clustering results. A novel image segmentation algorithm using the Binary k-means and the Adaptive Affinity Propagation clustering (CEBAAP) is designed in this paper. It uses a Binary k-means method to generate a set of clustering results and develops an Adaptive Affinity Propagation clustering to combine these results. The experiments results show that CEBAAP has good image partition effect.",
keywords = "Adaptive affinity propagation clustering, Binary k-means, Cluster ensemble, Image segmentation",
author = "Lei Wang and Guoyin Zhang and Chen Liu and Wei Gao",
note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media Singapore 2016.; 2nd International Conference on Young Computer Scientists, Engineers and Educators, ICYCSEE 2016 ; Conference date: 20-08-2016 Through 22-08-2016",
year = "2016",
doi = "10.1007/978-981-10-2053-7\_36",
language = "英语",
isbn = "9789811020520",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "410--417",
editor = "Wanxiang Che and Hongzhi Wang and Shaoliang Peng and Weipeng Jing and Guanglu Sun and Xianhua Song and Zeguang Lu and Qilong Han and Junyu Lin and Hongtao Song",
booktitle = "Social Computing - 2nd International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2016, Proceedings",
address = "德国",
}