Adaptive Clustering Technique Using Genetic Algorithms(Data Mining)

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概要

• 論文の詳細を見る

• This paper proposes a genetically inspired adaptive clustering algorithm for numerical and categorical data sets. To this end, unique encoding method and fitness functions are developed. The algorithm automatically discovers the actual number of clusters and efficiently performs clustering without unduly compromising cluster-purity. Moreover, it outperforms existing clustering algorithms.

• 社団法人電子情報通信学会の論文
• 2005-12-01

著者

• Ramakrishna Rudrapatna

  Gwangju Inst. Sci. And Technol. (gist) Gwangju Kor

• Park Nam

  Tmax Soft Co. Ltd.

• AHN Chang

  Samsung Advanced Institute of Technology (SAIT)

関連論文

• Building-Block Supply in Real-Coded Genetic Algorithms : A First Step on the Population-Sizing Model(General Fundamentals and Boundaries)
• Clustering-Based Probabilistic Model Fitting in Estimation of Distribution Algorithms(Biocybernetics, Neurocomputing)
• A New Algorithm for Silhouette Detection in Volume Objects and Its Parallelization(Computer Graphics)
• Adaptive Clustering Technique Using Genetic Algorithms(Data Mining)

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