Comparative Analysis of Hierarchical Merging and Non-hierarchical Clustering

• 발행기관: 한국IT마케팅학회
• 저자명: 이학준(Hak Joon Lee) 박용기(Yong Ki Park) 정용규(Yong Gyu Jung)
• 간행물 정보: 『The Journal of Information Technology and Management』Vol.3 No.2, 17~23쪽, 전체 7쪽
• 주제분류: 사회과학 > 무역학
• 파일형태: PDF
• 발행일자: 2015.06.30

영문 초록

This paper is an overview to make cluster analysis for grouping between objects with similar properties, but it is not determined the number of communities with algorithms for clustering in advance. As gradually starting a pre-specified number of hierarchical clustering, it is starting with one of the data by merge with other data. The data will be described for non-hierarchical clustering method that belongs to according to a similar property. In the experiment it is applied a merging algorithm and k- means algorithm of non-hierarchical method. Also hierarchical method described previously with experimental data is compared the characteristics. To evaluate the performance of the algorithm of the two-way through the experiment results, the two kinds of algorithms are analyzed.

목차

Abstract

1. 서론

2. 문헌연구

3. 실험 및 실험결과

4. 실험결과

5. 결론

References

키워드

Hierarchical Clustering Non-Hierarchical Clustering Pre-Specified Number Merging Algorithm K- Means Algorithm