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ASA 군집화를 이용한 군집수 결정 및 다양한 실험Finding the Number of Clusters and Various Experiments Based on ASA Clustering Method
- Other Titles
- Finding the Number of Clusters and Various Experiments Based on ASA Clustering Method
- Authors
- 윤복식
- Issue Date
- 2006
- Publisher
- 한국경영과학회
- Keywords
- Clustering; Hierarchical Clustering; Number of Clusters; Simulated Annealing; ASA Clustering Algorithm
- Citation
- 한국경영과학회지, v.31, no.2, pp.87 - 98
- Journal Title
- 한국경영과학회지
- Volume
- 31
- Number
- 2
- Start Page
- 87
- End Page
- 98
- ISSN
- 1225-1119
- Abstract
- In many cases of cluster analysis we are forced to perform clustering without any prior knowledge on the number of clusters. But in some clustering methods such as k-means algorithm it is required to provide the number of clusters beforehand. In this study, we focus on the problem to determine the number of clusters in the given data. We follow the 2 stage approach of ASA clustering algorithm and mainly try to improve the performance of the first stage of the algorithm. We verify the usefulness of the method by applying it for various kinds of simulated data. Also, we apply the method for clustering two kinds of real life qualitative data.
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Collections - College of Engineering > Department of Science > 1. Journal Articles
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