SCOPUS 정보 검색 플랫폼

Journal of Computational Information Systems

Volumn 6, Issue 9, 2010, Pages 2959-2966

Ontology-based clustering algorithm with feature weights

a CHINA UNIVERSITY OF MINING AND TECHNOLOGY (China)

Author keywords

Cluster; Feature weights; Ontology

Indexed keywords

CLUSTER; CLUSTERING RESULTS; DOMAIN FEATURE; DOMAIN KNOWLEDGE; FEATURE WEIGHT; MULTIDIMENSIONAL DATA; MULTIPLE FEATURES; ONTOLOGY SEMANTICS; ONTOLOGY-BASED; OPTIMAL CLUSTERING; PARAMETER VALUES; PRIOR KNOWLEDGE;

ONTOLOGY;

CLUSTERING ALGORITHMS;

EID: 77958105216 PISSN: 15539105 EISSN: None Source Type: Journal
DOI: None Document Type: Article

Times cited : (20)

References (9)

1
- 77952256079
- Adaptive algorithms for weight of the feature weighted of FCM
- Xiao-jiang Kong, Xiao-jun Tong. Adaptive Algorithms for Weight of the Feature Weighted of FCM. 2009 Fifth International Conference on Image and Graphics, 2009: 501-505.
- (2009) Fifth International Conference on Image and Graphics , pp. 501-505
- Kong, X.-J.¹ Tong, X.-J.²

2
- 60549106246
- Density-weighted fuzzy c-means clustering
- Richard J. Hathaway, Yingkang Hu. Density-weighted fuzzy c-means clustering. IEEE Transactions on Fuzzy Systems, 2009, 17(1): 243-252, 2009.
- (2009) IEEE Transactions on Fuzzy Systems , vol.17 , Issue.1 , pp. 243-252
- Hathaway, R.J.¹ Hu, H.²

3
- 77955271543
- New fuzzy c-means clustering model based on the data weighted approach
- Chenglong Tang, Shigang Wang, Wei Xu. New fuzzy c-means clustering model based on the data weighted approach. Data & Knowledge Engineering, 2010, 69(9): 881-900
- (2010) Data & Knowledge Engineering , vol.69 , Issue.9 , pp. 881-900
- Tang, C.¹ Wang, S.² Xu, W.³

4
- 37249018478
- A weighted feature c-means clustering algorithm for case indexing and retrieval in cased-based reasoning
- Chuang-Cheng Chiu and Chieh-Yuan Tsai. A Weighted Feature C-means Clustering Algorithm for Case Indexing and Retrieval in Cased-Based Reasoning. 20th international conference on Industrial, engineering, and other applications of applied intelligent systems, 2007: 541-551.
- (2007) 20th International Conference on Industrial, Engineering, and Other Applications of Applied Intelligent Systems , pp. 541-551
- Chiu, C.-C.¹ Tsai, C.-Y.²

5
- 33749656261
- A general weighted fuzzy clustering algorithm
- Zhiqiang Bao, Bing Han and Shunjun Wu. A General Weighted Fuzzy Clustering Algorithm. Image Analysis and Recognition, 2006: 102-109.
- (2006) Image Analysis and Recognition , pp. 102-109
- Bao, Z.¹ Han, B.² Wu, S.³

6
- 33750534740
- A novel feature weighted clustering algorithm based on rough sets for shot boundary detection
- Bing Han, Xinbo Gao and Hongbing Ji. A Novel Feature Weighted Clustering Algorithm Based on Rough Sets for Shot Boundary Detection. Fuzzy Systems and Knowledge Discovery, 2006: 471-480.
- (2006) Fuzzy Systems and Knowledge Discovery , pp. 471-480
- Han, B.¹ Gao, X.² Ji, H.³

7
- 54849426581
- Incorporating prior knowledge on features into learning
- Eyal Krupka, Naftali Tishby. Incorporating Prior Knowledge on Features into Learning. Eleventh International Conference on Artificial Intelligence and Statistics, 2007.
- (2007) Eleventh International Conference on Artificial Intelligence and Statistics
- Krupka, E.¹ Tishby, N.²

8
- 77955626490
- A new feature weighted fuzzy c-means clustering algorithm
- Huaiguo Fu, Ahmed M. Elmisery. A New Feature Weighted Fuzzy C-means Clustering Algorithm. IADIS European Conference on Data Mining 2009.
- (2009) IADIS European Conference on Data Mining
- Fu, H.¹ Elmisery, A.M.²

9
- 77958094708
- Empirical learning aided by weak domain knowledge in the form of feature importance
- Ridwan Al Iqbal. Empirical learning aided by weak domain knowledge in the form of feature importance. http://cogprints.org/6855/, 2010.
- (2010)
- Al Iqbal, R.¹

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.