Clustering of high dimensional handwritten data by an improved hypergraph partition method

doi:10.1007/978-3-319-63315-2_28

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	Clustering of high dimensional handwritten data by an improved hypergraph partition method
	Wang, Tian 1; Lu, Yonggang 1; Han, Yuxuan 2
	2017
会议日期	August 7, 2017 - August 10, 2017
会议地点	Liverpool, United kingdom
关键词	Cluster analysis Graph theory Intelligent computing Nearest neighbor search Clustering Curse of dimensionality High dimensional data Hypergraph Hypergraph partition Hypergraph partitioning methods K-nearest neighbors Traditional clustering
卷号	10363 LNAI
DOI	10.1007/978-3-319-63315-2_28
页码	323-334
英文摘要	High dimensional data clustering is a difficult task due to the curse of dimensionality. Traditional clustering methods usually fail to produce meaningful results for high dimensional data. Hypergraph partition is believed to be a promising method for dealing with this challenge. In this work, a new high dimensional clustering method called Merging Dense SubGraphs (MDSG) is proposed. A graph G is first constructed from the data by defining an adjacency relationship between the data points using Shared k Nearest Neighbors (SNN). Then a hypergraph is created from the graph G by defining the hyperedges to be all the maximal cliques in the graph. After the hypergraph is produced, an improved hypergraph partitioning method is used to produce the final clustering results. The proposed MDSG method is evaluated on several real high dimensional handwritten datasets, and the experimental results show that the proposed method is superior to the traditional clustering method and other hypergraph partition methods for high dimensional handwritten data clustering. © Springer International Publishing AG 2017.
会议录	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
会议录出版者	Springer Verlag
语种	英语
ISSN号	03029743
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/118116]
专题	兰州理工大学
作者单位	1.School of Information Science and Engineering, Lanzhou University, Lanzhou; Gansu; 730000, China; 2.School of Computer and Communication, Lanzhou University of Technology, Lanzhou; Gansu; 730050, China
推荐引用方式 GB/T 7714	Wang, Tian,Lu, Yonggang,Han, Yuxuan. Clustering of high dimensional handwritten data by an improved hypergraph partition method[C]. 见:. Liverpool, United kingdom. August 7, 2017 - August 10, 2017.