Image Segmentation: A Novel Cluster Ensemble Algorithm

• 作者: Chen Liu Guoyin Zhang Lei Wang Wei Gao
• 来源期刊: 国际计算机前沿大会会议论文集
• 学科: 社会科学
• 关键词: Cluster ENSEMBLE BINARY K-MEANS Adaptive AFFINITY propagation clustering Image SEGMENTATION
• 年，卷（期）: 2016,（1）
• 页码范围: 103-105
• 页数: 3页
• 分类号: C5

摘要

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.