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检索条件"主题词=Partitional clustering algorithm"
5 条 记 录,以下是1-10 订阅
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An Optimal and Stable algorithm for clustering Numerical Data
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algorithmS 2021年 第7期14卷 197页
作者: Seman, Ali Sapawi, Azizian Mohd Univ Teknol MARA UiTM Fac Comp & Math Sci Shah Alam 40450 Selangor Malaysia
In the conventional k-means framework, seeding is the first step toward optimization before the objects are clustered. In random seeding, two main issues arise: the clustering results may be less than optimal and diff... 详细信息
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Fast and stable clustering analysis based on Grid-mapping K-means algorithm and new clustering validity index
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NEUROCOMPUTING 2019年 363卷 149-170页
作者: Zhu, Erzhou Zhang, Yuanxiang Wen, Peng Liu, Feng Anhui Univ Sch Comp Sci & Technol Hefei 230601 Anhui Peoples R China
As a classical data analysis technique, clustering plays the important role in identifying natural structures of target datasets. However, many of the existing clustering methods, including clustering algorithms and c... 详细信息
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Effective and Optimal clustering Based on New clustering Validity Index  22
Effective and Optimal Clustering Based on New Clustering Val...
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22nd IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD)
作者: Zhu, Erzhou Li, Peng Ma, Zhujuan Li, Xuejun Liu, Feng Anhui Univ Sch Comp Sci & Technol Hefei Anhui Peoples R China Anhui Agr Univ Sch Econ & Technol Hefei Anhui Peoples R China
As an important tool, clustering validity index (CVI) is usually used to evaluate the validity of the clustering results and determine the optimal clustering number (K-opt). However, the existing CVIs have some shortc... 详细信息
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A New Fuzzy clustering Validity Index With a Median Factor for Centroid-Based clustering
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IEEE TRANSACTIONS ON FUZZY SYSTEMS 2015年 第3期23卷 701-718页
作者: Wu, Chih-Hung Ouyang, Chen-Sen Chen, Li-Wen Lu, Li-Wei Natl Univ Kaohsiung Dept Elect Engn Kaohsiung 811 Taiwan I Shou Univ Dept Informat Engn Kaohsiung 840 Taiwan
Determining the number of clusters, which is usually approved by domain experts or evaluated by clustering validity indexes, is an important issue in clustering analysis. This study discusses the effectiveness of clus... 详细信息
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Using term dependency to enhance partitional text clustering
Using term dependency to enhance partitional text clustering
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International Conference on Information and Knowledge Engineering (IKE 04)
作者: Deng, WT Wu, W Middlesex Univ Sch Comp Sci London N17 8HR England
Text clustering can be used to structure large sets of text or hypertext documents. Some research shows that partitional clustering algorithms can outperform other clustering algorithms for text clustering tasks. Howe... 详细信息
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