융합신호처리학회 학술대회논문집 (Proceedings of the Korea Institute of Convergence Signal Processing)
- 한국신호처리시스템학회 2001년도 하계 학술대회 논문집(KISPS SUMMER CONFERENCE 2001
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- Pages.113-116
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- 2001
학습시간을 개선한 Fuzzy c-means 알고리즘
The Enhancement of Learning Time in Fuzzy c-means algorithm
초록
The conventional K-means algorithm is widely used in vector quantizer design and clustering analysis. Recently modified K-means algorithm has been proposed where the codevector updating step is as fallows: new codevector = current codevector + scale factor (new centroid - current codevector). This algorithm uses a fixed value for the scale factor. In this paper, we propose a new algorithm for the enhancement of learning time in fuzzy c-means a1gorithm. Experimental results show that the proposed method produces codebooks about 5 to 6 times faster than the conventional K-means algorithm with almost the same Performance.
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