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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제13권 제6호
- 발행연도
- 2017.1
- 수록면
- 1,467 - 1,486 (20page)
이용수
초록· 키워드
오류제보하기
Fuzzy co-clustering is sensitive to noise data. To overcome this noise sensitivity defect, possibilistic clusteringrelaxes the constraints in FCM-type fuzzy (co-)clustering. In this paper, we introduce a new possibilistic fuzzyco-clustering algorithm based on information bottleneck (ibPFCC). This algorithm combines fuzzy coclusteringand possibilistic clustering, and formulates an objective function which includes a distance functionthat employs information bottleneck theory to measure the distance between feature data point and featurecluster centroid. Many experiments were conducted on three datasets and one artificial dataset. Experimentalresults show that ibPFCC is better than such prominent fuzzy (co-)clustering algorithms as FCM, FCCM,RFCC and FCCI, in terms of accuracy and robustness.
목차
등록된 정보가 없습니다.
참고문헌 (23)
참고문헌 신청
B. Abidi / 2013 / Multi-PFKCN: a fuzzy possibilistic clustering algorithm based on neural network / Proceedings of 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
C. H. Oh / 2001 / Fuzzy clustering for categorical multivariate data / Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569) : 215
H. Izakian / 2015 / Fuzzy clustering of time series data using dynamic time warping distance / Engineering Applications of Artificial Intelligence 39 : 235 ~ 244
J. C. Bezdek / 1981 / Pattern Recognition with Fuzzy Objective Function Algorithms / Plenum Press : 203 ~ 239
J. Goldberger / 2002 / Unsupervised image clustering using the information bottleneck method / Proceedings of 24th DAGM Symposium : 158 ~ 165
C. H. Oh / 2001 / Fuzzy clustering for categorical multivariate data / Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569) : 215
H. Izakian / 2015 / Fuzzy clustering of time series data using dynamic time warping distance / Engineering Applications of Artificial Intelligence 39 : 235 ~ 244
J. C. Bezdek / 1981 / Pattern Recognition with Fuzzy Objective Function Algorithms / Plenum Press : 203 ~ 239
J. Goldberger / 2002 / Unsupervised image clustering using the information bottleneck method / Proceedings of 24th DAGM Symposium : 158 ~ 165
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