Fuzzy spectral partition ensemble based on occasion

• DOI number:10.1109/ISKE.2015.47
• Affiliation of Author(s):西南交通大学
• Journal:2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)
• Place of Publication:Taipei, Taiwan
• Key Words:Clustering ensemble, Fuzzy clustering, Spectral partition, Occasion
• Abstract:Clustering ensemble takes advantage of ensemble learning technique, combining multiple cluster members' results to get uniform and more reasonable clustering result. This paper integrates in the staged results of spectral partition ensemble algorithm orderly, applying the fuzzy C-means clustering algorithm in the following clustering stage of spectral partition ensemble, and presents four fuzzy spectral partition ensemble based on occasion. Compared with the existing graph partition ensemble algorithms, our algorithms do better in the clustering effectiveness and efficiency.
• Co-author:Yan Yang, Hongjun Wang
• First Author:Xiaolong Meng
• Indexed by:Academic papers
• Document Code:20162002387686
• Discipline:Engineering
• First-Level Discipline:Computer Science and Technology
• Page Number:40-45
• ISSN No.:978-1-4673-9323-2
• Translation or Not:no
• Date of Publication:2015-12-24