메뉴 건너뛰기




Volumn 3, Issue 4, 2012, Pages 335-343

Cascaded cluster ensembles

Author keywords

Clustering ensemble; k means clustering; Unsupervised learning

Indexed keywords

CLUSTER ENSEMBLES; CLUSTERING ENSEMBLE; CONSENSUS FUNCTIONS; DATA SETS; INPUT SAMPLE; INPUT SPACE; K-MEANS; K-MEANS CLUSTERING; SECOND LAYER; TOY DATA; UNSUPERVISED CLASSIFICATION;

EID: 84868119093     PISSN: 18688071     EISSN: 1868808X     Source Type: Journal    
DOI: 10.1007/s13042-011-0065-5     Document Type: Article
Times cited : (5)

References (22)
  • 2
    • 24344484344 scopus 로고    scopus 로고
    • General C-means clustering model
    • Yu J (2005) General C-means clustering model. IEEE Trans Pattern Anal Mach Intell 27(8): 1197-1211.
    • (2005) IEEE Trans Pattern Anal Mach Intell , vol.27 , Issue.8 , pp. 1197-1211
    • Yu, J.1
  • 3
    • 67749105990 scopus 로고    scopus 로고
    • Predictive ensemble pruning by expectation propagation
    • Chen H, Tino P, Yao X (2009) Predictive ensemble pruning by expectation propagation. IEEE Trans Knowl Data Eng 21(7): 999-1013.
    • (2009) IEEE Trans Knowl Data Eng , vol.21 , Issue.7 , pp. 999-1013
    • Chen, H.1    Tino, P.2    Yao, X.3
  • 4
    • 45649085354 scopus 로고    scopus 로고
    • Induction of multiple fuzzy decision trees based on rough set technique
    • Wang XZ, Zhai JH, Lu SX (2008) Induction of multiple fuzzy decision trees based on rough set technique. Info Sci 178(16): 3188-3202.
    • (2008) Inf Sci , vol.178 , Issue.16 , pp. 3188-3202
    • Wang, X.Z.1    Zhai, J.H.2    Lu, S.X.3
  • 5
    • 77956456333 scopus 로고    scopus 로고
    • Sparse ensembles using weighted combination methods based on linear programming
    • Zhang L, Zhou WD (2011) Sparse ensembles using weighted combination methods based on linear programming. Pattern Recogn 44: 97-106.
    • (2011) Pattern Recogn , vol.44 , pp. 97-106
    • Zhang, L.1    Zhou, W.D.2
  • 6
    • 33947159574 scopus 로고    scopus 로고
    • Evaluation of stability of k-means cluster ensembles with respect to random initialization
    • Kuncheva LI, Vetrov DP (2006) Evaluation of stability of k-means cluster ensembles with respect to random initialization. IEEE Trans Pattern Anal Mach Intell 28(11): 1798-1808.
    • (2006) IEEE Trans Pattern Anal Mach Intell , vol.28 , Issue.11 , pp. 1798-1808
    • Kuncheva, L.I.1    Vetrov, D.P.2
  • 7
    • 33644655237 scopus 로고    scopus 로고
    • Clusterer ensemble
    • Zhou ZH, Tang W (2006) Clusterer ensemble. Knowl Based Syst 19(1): 77-83.
    • (2006) Knowl Based Syst , vol.19 , Issue.1 , pp. 77-83
    • Zhou, Z.H.1    Tang, W.2
  • 8
    • 0041965980 scopus 로고    scopus 로고
    • Cluster ensembles - a knowledge reuse framework for combining multiple partitions
    • Strehl A, Ghosh J (2002) Cluster ensembles - a knowledge reuse framework for combining multiple partitions. J Mach Learn Res3: 583-617.
    • (2002) J Mach Learn Res , vol.3 , pp. 583-617
    • Strehl, A.1    Ghosh, J.2
  • 10
    • 0038391443 scopus 로고    scopus 로고
    • Bagging to improve the accuracy of a clustering procedure
    • Dudoit S, Fridlyand J (2003) Bagging to improve the accuracy of a clustering procedure. Bioinformatics 19(9): 1090-1099.
    • (2003) Bioinformatics , vol.19 , Issue.9 , pp. 1090-1099
    • Dudoit, S.1    Fridlyand, J.2
  • 12
    • 30144442247 scopus 로고    scopus 로고
    • Clustering ensembles: models of consensus and weak partitions
    • Topchy A, Jain A, Punch W (2005) Clustering ensembles: models of consensus and weak partitions. IEEE Trans Pattern Anal Mach Intell 27(12): 1866-1881.
    • (2005) IEEE Trans Pattern Anal Mach Intell , vol.27 , Issue.12 , pp. 1866-1881
    • Topchy, A.1    Jain, A.2    Punch, W.3
  • 13
    • 79956344429 scopus 로고    scopus 로고
    • Bagging-based spectral clustering ensemble selection
    • Jia J, Xiao X, Liu B, Jiao L (2011) Bagging-based spectral clustering ensemble selection. Pattern Recogn Lett 32(10): 1456-1467.
    • (2011) Pattern Recogn Lett , vol.32 , Issue.10 , pp. 1456-1467
    • Jia, J.1    Xiao, X.2    Liu, B.3    Jiao, L.4
  • 16
    • 25944479013 scopus 로고    scopus 로고
    • SFB "Adaptive Information Systems and Modeling in Economics and Management Science"
    • Leisch F (1999) Bagged clustering, SFB "Adaptive Information Systems and Modeling in Economics and Management Science", p 51.
    • (1999) Bagged clustering , pp. 51
    • Leisch, F.1
  • 20
    • 84861492561 scopus 로고    scopus 로고
    • Clustering based on Steiner points
    • doi: 10. 1007/s13042-011-0047-7
    • Liang J, Song W (2011) Clustering based on Steiner points. Int J Mach Learn Cybern. doi: 10. 1007/s13042-011-0047-7.
    • (2011) Int J Mach Learn Cybern
    • Liang, J.1    Song, W.2
  • 21
    • 84857569171 scopus 로고    scopus 로고
    • Clustering data in stationary environments with a local network neighborhood artificial immune system
    • doi: 10. 1007/s13042-011-0041-0
    • Graaff AJ, Engelbrecht AP (2011) Clustering data in stationary environments with a local network neighborhood artificial immune system. Int J Mach Learn Cybern. doi: 10. 1007/s13042-011-0041-0.
    • (2011) Int J Mach Learn Cybern
    • Graaff, A.J.1    Engelbrecht, A.P.2
  • 22
    • 84863262331 scopus 로고    scopus 로고
    • Soft subspace clustering with an improved feature weight self-adjustment mechanism
    • doi: 10. 1007/s13042-011-0038-8
    • Guo G, Chen S, Chen L (2011) Soft subspace clustering with an improved feature weight self-adjustment mechanism. Int J Mach Learn Cybern. doi: 10. 1007/s13042-011-0038-8.
    • (2011) Int J Mach Learn Cybern.
    • Guo, G.1    Chen, S.2    Chen, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.