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http://dx.doi.org/10.7236/JIWIT.2011.11.5.139

A Study of Criterion for Efficient Clustering Estimation of Temporal Data  

Jeon, Jin-Ho (관동대학교, 경영학과)
Kim, Min-Soo (관동대학교, 호텔경영학과)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.11, no.5, 2011 , pp. 139-144 More about this Journal
Abstract
Most real world system such as world economy, management, medical and engineering applications contain a series of complex phenomena. One of common methods to understand these system is to build a model and analyze the behavior of the system. As a first step, Determining the best clusters on data. As a second step, Determining the model of the cluster. In this paper, we investigated heuristic search methods for efficient clustering. It is also confirmed that the Bayesian Information Criterion more reliable than Cheeseman-Stutz ones.
Keywords
Temporal 데이터;군집;기준;한계우도;
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