A Probabilistic Approach to Latent Cluster Analysis

Xie, Zhipeng; Dong, Rui; Deng, Zhengheng; He, Zhenying; Yang, Weidong

A Probabilistic Approach to Latent Cluster Analysis

Zhipeng Xie, Rui Dong, Zhengheng Deng, Zhenying He, Weidong Yang

Download BibTeX Cite

Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence. Pages 1813-1818.

Abstract

Facing a large number of clustering solutions, cluster ensemble method provides an effective approach to aggregating them into a better one. In this paper, we propose a novel cluster ensemble method from probabilistic perspective. It assumes that each clustering solution is generated from a latent cluster model, under the control of two probabilistic parameters. Thus, the cluster ensemble problem is reformulated into an optimization problem of maximum likelihood. An EM-style algorithm is designed to solve this problem. It can determine the number of clusters automatically. Experimental results have shown that the proposed algorithm outperforms the state-of-the-art methods including EAC-AL, CSPA, HGPA, and MCLA. Furthermore, it has been shown that our algorithm is stable in the predicted numbers of clusters.

Zhipeng Xie, Rui Dong, Zhengheng Deng, Zhenying He, and Weidong Yang. 2013. A Probabilistic Approach to Latent Cluster Analysis. In Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13. IJCAI, 1813–1818. https://ijcai.org/proceedings/2013/268

@inproceedings{ijcai2013p268,
  title     = {A Probabilistic Approach to Latent Cluster Analysis},
  author    = {Xie, Zhipeng and Dong, Rui and Deng, Zhengheng and He, Zhenying and Yang, Weidong},
  booktitle = {Proceedings of the Twenty-Third International Joint Conference on
               Artificial Intelligence, {IJCAI-13}},
  publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
  editor    = {Francesca Rossi},
  pages     = {1813--1818},
  year      = {2013},
  month     = {8},
  url       = {https://ijcai.org/proceedings/2013/268},
}

TY  - CPAPER
TI  - A Probabilistic Approach to Latent Cluster Analysis
AU  - Xie, Zhipeng
AU  - Dong, Rui
AU  - Deng, Zhengheng
AU  - He, Zhenying
AU  - Yang, Weidong
T2  - Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13
PB  - AAAI Press / International Joint Conferences on Artificial Intelligence
PY  - 2013
SP  - 1813
EP  - 1818
UR  - https://ijcai.org/proceedings/2013/268
ER  -