Application Progress of Signal Clustering Algorithm

• 作者: Chujie Deng Jing Qi Mei Li Xuanchicheng Luo
• 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: SIGNAL CLUSTERING ALGORITHM K-MEANS FCM
• 年，卷（期）: 2016,（1）
• 页码范围: 57-58
• 页数: 2页
• 分类号: C5

摘要

Clustering algorithm, which is a statistical analysis method for research in classifications, plays an important role in data mining algorithm. Clustering algorithm based on similarity, and is easy to combine with other methods in optimization. In this review, signal clustering algorithm is introduced by discussing of the clustering parametric in different signal clustering algorithms. In order to develop traditional algorithm, we introduce a series of improvement, development and application of the methods in recent years. Finally, we make an outlook of the future direction and content of the research in this field.