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Experimental Evaluation of Distance-based and Probability-based Clustering
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  • Experimental Evaluation of Distance-based and Probability-based Clustering
  • Experimental Evaluation of Distance-based and Probability-based Clustering
저자명
Kwon. Na Yeon,Kim. Jang Il,Dollein. Richard,Seo. Weon Joon,Jung. Yong Gyu
간행물명
Journal of Advanced Smart Convergence(JASC)
권/호정보
2013년|2권 1호|pp.36-41 (6 pages)
발행정보
한국인터넷방송통신학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

Decision-making is to extract information that can be executed in the future, it refers to the process of discovering a new data model that is induced in the data. In other words, it is to find out the information to peel off to find the vein to catch the relationship between the hidden patterns in data. The information found here, is a process of finding the relationship between the useful patterns by applying modeling techniques and sophisticated statistical analysis of the data. It is called data mining which is a key technology for marketing database. Therefore, research for cluster analysis of the current is performed actively, which is capable of extracting information on the basis of the large data set without a clear criterion. The EM and K-means methods are used a lot in particular, how the result values of evaluating are come out in experiments, which are depending on the size of the data by the type of distance-based and probability-based data analysis.