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Clustering of High Dimensional Handwritten Data by an Improved Hypergraph Partition Method
Wang, Tian1; Lu, Yonggang1; Han, Yuxuan2
2017
关键词Clustering High dimensional data Hypergraph Hypergraph partition
卷号10363
DOI10.1007/978-3-319-63315-2_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.
会议录INTELLIGENT COMPUTING METHODOLOGIES, ICIC 2017, PT III
会议录出版者SPRINGER INTERNATIONAL PUBLISHING AG
会议录出版地GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
语种英语
资助项目Fundamental Research Funds for the Central Universities[lzujbky-2016-k07]
WOS研究方向Computer Science
WOS记录号WOS:000432092800028
内容类型会议论文
源URL[http://119.78.100.223/handle/2XXMBERH/36292]  
专题兰州理工大学
通讯作者Lu, Yonggang
作者单位1.Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou 730000, Gansu, Peoples R China
2.Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou 730050, Gansu, Peoples R 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:.
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