A Clustering Method Based on K-Means Algorithm
In this paper we combine the largest minimum distance algorithm and the traditional K-Means algorithm to propose an improved K-Means clustering algorithm. This improved algorithm can make up the shortcomings for the traditional K-Means algorithm to determine the initial focal point. The improved K-M...
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Published in | Physics procedia Vol. 25; pp. 1104 - 1109 |
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Main Authors | , |
Format | Journal Article |
Language | English |
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Elsevier B.V
2012
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Abstract | In this paper we combine the largest minimum distance algorithm and the traditional K-Means algorithm to propose an improved K-Means clustering algorithm. This improved algorithm can make up the shortcomings for the traditional K-Means algorithm to determine the initial focal point. The improved K-Means algorithm effectively solved two disadvantages of the traditional algorithm, the first one is greater dependence to choice the initial focal point, and another one is easy to be trapped in local minimum[1,2]. |
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AbstractList | In this paper we combine the largest minimum distance algorithm and the traditional K-Means algorithm to propose an improved K-Means clustering algorithm. This improved algorithm can make up the shortcomings for the traditional K-Means algorithm to determine the initial focal point. The improved K-Means algorithm effectively solved two disadvantages of the traditional algorithm, the first one is greater dependence to choice the initial focal point, and another one is easy to be trapped in local minimum[1,2]. |
Author | Wu, Haiyan Li, Youguo |
Author_xml | – sequence: 1 givenname: Youguo surname: Li fullname: Li, Youguo – sequence: 2 givenname: Haiyan surname: Wu fullname: Wu, Haiyan |
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Cites_doi | 10.1109/TPAMI.1984.4767478 |
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Keywords | distance algorithm cluster analysis K-Means algorithm samples of pattern |
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References | BianZhaoQi, ZhangXuegong (bib0015) 2000 JAIN.A.K., DUBE.S.R.C. (bib0020) 1988 SELIM.S.Z., ISMAI.L.M. (bib0030) 1984; 6. SunXin, YuAnping (bib0035) 2006 Usama, Fayyad cory, Reina Paul, Bradley (bib0005) 1998 DUDA.R.O., HAR.T.P.E. (bib0010) 1973 ZhangYufang (bib0025) 2003; 8 JAIN.A.K. (10.1016/j.phpro.2012.03.206_bib0020) 1988 Usama (10.1016/j.phpro.2012.03.206_bib0005) 1998 SELIM.S.Z. (10.1016/j.phpro.2012.03.206_bib0030) 1984; 6. DUDA.R.O. (10.1016/j.phpro.2012.03.206_bib0010) 1973 ZhangYufang (10.1016/j.phpro.2012.03.206_bib0025) 2003; 8 BianZhaoQi (10.1016/j.phpro.2012.03.206_bib0015) 2000 SunXin (10.1016/j.phpro.2012.03.206_bib0035) 2006 |
References_xml | – year: 1973 ident: bib0010 article-title: Pattern classification and scene analysis – volume: 8 start-page: 31 year: 2003 end-page: 33 ident: bib0025 article-title: A kind of improved K-means algorithm [J] publication-title: Computer Application – year: 2006 ident: bib0035 article-title: VC++ in depth detailed introduction – volume: 6. start-page: 81 year: 1984 end-page: 87 ident: bib0030 article-title: A.K-means type algorithms: a generalized convergence theorem and characterization of local optimality [J] publication-title: IEEE Transactions on Pattern Analysis and Machine Intelligence – year: 1998 ident: bib0005 publication-title: Initialization of Iterative Refinement clustering algorithms[C]. Proc. 4th International Conf. On Knowledge Discovery & Data Mining – year: 2000 ident: bib0015 article-title: Pattern Recognition – year: 1988 ident: bib0020 article-title: Algorithms for clustering data – volume: 8 start-page: 31 year: 2003 ident: 10.1016/j.phpro.2012.03.206_bib0025 article-title: A kind of improved K-means algorithm [J] publication-title: Computer Application – year: 2006 ident: 10.1016/j.phpro.2012.03.206_bib0035 – year: 2000 ident: 10.1016/j.phpro.2012.03.206_bib0015 – year: 1973 ident: 10.1016/j.phpro.2012.03.206_bib0010 – volume: 6. start-page: 81 issue: 1 year: 1984 ident: 10.1016/j.phpro.2012.03.206_bib0030 article-title: A.K-means type algorithms: a generalized convergence theorem and characterization of local optimality [J] publication-title: IEEE Transactions on Pattern Analysis and Machine Intelligence doi: 10.1109/TPAMI.1984.4767478 – year: 1998 ident: 10.1016/j.phpro.2012.03.206_bib0005 publication-title: Initialization of Iterative Refinement clustering algorithms[C]. Proc. 4th International Conf. On Knowledge Discovery & Data Mining – year: 1988 ident: 10.1016/j.phpro.2012.03.206_bib0020 |
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Title | A Clustering Method Based on K-Means Algorithm |
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