한국지능시스템학회:학술대회논문집 (Proceedings of the Korean Institute of Intelligent Systems Conference)
- 한국퍼지및지능시스템학회 2000년도 추계학술대회 학술발표 논문집
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- Pages.121-124
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- 2000
개선된 산 클러스터링 방법
Advanced Mountain Clustering Method
초록
We introduce an advanced mountain clustering method which uses a normalized data space, a gaussian type mountain function and a deconstruction method using mountain slope. This is more useful than Yagers mountain method because it needs just one parameter to tune instead of three and finds out more resonable cluster centers. Computational examples are presented to show the validity of the advanced mountain method.
키워드