-
1
-
-
34447330447
-
A k-mean clustering algorithm for mixed numeric and categorical data
-
doi: 10. 1016/j. datak. 2007. 03. 016
-
Ahmad A, Dey L (2007) A k-mean clustering algorithm for mixed numeric and categorical data. Data Knowl Eng. doi: 10. 1016/j. datak. 2007. 03. 016.
-
(2007)
Data Knowl Eng
-
-
Ahmad, A.1
Dey, L.2
-
2
-
-
0016355478
-
A new look at the statistical model identification
-
doi: 10. 1109/TAC. 1974. 1100705
-
Akaike H (1974) A new look at the statistical model identification. IEEE Trans Autom Control. doi: 10. 1109/TAC. 1974. 1100705.
-
(1974)
IEEE Trans Autom Control
-
-
Akaike, H.1
-
3
-
-
65549104397
-
A roadmap of clustering algorithms: finding a match for a biomedical application
-
Andreopoulos B, An A, Wang X et al (2009) A roadmap of clustering algorithms: finding a match for a biomedical application. Br Bioinform 10(3): 297-314.
-
(2009)
Br Bioinform
, vol.10
, Issue.3
, pp. 297-314
-
-
Andreopoulos, B.1
An, A.2
Wang, X.3
-
6
-
-
84855611418
-
BicFinder: A biclustering algorithm for microarray data analysis
-
doi:10.1007/s10115-011-0383-7
-
Ayadi W, Elloumi M, Hao JK (2012) BicFinder: A biclustering algorithm for microarray data analysis. Knowl Inf Syst 30: 341-358. doi: 10. 1007/s10115-011-0383-7.
-
(2012)
Knowl Inf Syst
, vol.30
, pp. 341-358
-
-
Ayadi, W.1
Elloumi, M.2
Hao, J.K.3
-
7
-
-
84865438432
-
Interpretable and reconfigurable clustering of document datasets by deriving word-based rules
-
doi: 10. 1007/s10115-011-0446-9
-
Balachandran V, Khemani D (2011) Interpretable and reconfigurable clustering of document datasets by deriving word-based rules. Knowl Inf Syst. doi: 10. 1007/s10115-011-0446-9.
-
(2011)
Knowl Inf Syst
-
-
Balachandran, V.1
Khemani, D.2
-
8
-
-
80053313853
-
Measuring gene similarity by means of the classification distance
-
doi:10.1007/s10115-010-0374-0
-
Baralis E, Bruno G, Flori A (2011) Measuring gene similarity by means of the classification distance. Knowl Inf Syst 29: 81-101. doi: 10. 1007/s10115-010-0374-0.
-
(2011)
Knowl Inf Syst
, vol.29
, pp. 81-101
-
-
Baralis, E.1
Bruno, G.2
Flori, A.3
-
9
-
-
78650792692
-
Clustering gene expression data with a penalized graph-based metric
-
Baya AE, Granitto PM (2011) Clustering gene expression data with a penalized graph-based metric. BMC bioinf 12: 1-18.
-
(2011)
BMC Bioinf
, vol.12
, pp. 1-18
-
-
Baya, A.E.1
Granitto, P.M.2
-
11
-
-
33846606051
-
Clustering methods for microarray gene expression data
-
doi:10.1089/omi.2006.10.507
-
Belacel N, Wang Q, Cuperlovic-Culf M (2006) Clustering methods for microarray gene expression data. OMICS J Integr Biol 10(4): 507-531. doi: 10. 1089/omi. 2006. 10. 507.
-
(2006)
OMICS J Integr Biol
, vol.10
, Issue.4
, pp. 507-531
-
-
Belacel, N.1
Wang, Q.2
Cuperlovic-Culf, M.3
-
13
-
-
85153959666
-
Convergence properties of the k-means algorithms
-
G. Tesauro and D. Touretzky (Eds.), Cambridge: MIT Press
-
Bottou L, Bengio Y (1995) Convergence properties of the k-means algorithms. In: Tesauro G, Touretzky D (eds) Advances in neural information processing systems 7. MIT Press, Cambridge, pp 585-592.
-
(1995)
Advances in Neural Information Processing Systems 7
, pp. 585-592
-
-
Bottou, L.1
Bengio, Y.2
-
14
-
-
77957752478
-
An integration of WordNet and fuzzy association rule mining for multi-label document clustering
-
doi: j. datak. 2010. 08. 003
-
Chen C-L, Tseng FSC (2010) An integration of WordNet and fuzzy association rule mining for multi-label document clustering. Data Knowl Eng 69(11): 1208-1226. doi: j. datak. 2010. 08. 003.
-
(2010)
Data Knowl Eng
, vol.69
, Issue.11
, pp. 1208-1226
-
-
Chen, C.-L.1
Tseng, F.S.C.2
-
15
-
-
0041328214
-
k*-means: A new generalized k-means clustering algorithm
-
doi:10.1016/S0167-8655(03)00146-6
-
Cheung Y (2003) k*-means: A new generalized k-means clustering algorithm. Pattern Recognit Lett 24(15): 2883-2893. doi: 10. 1016/S0167-8655(03)00146-6.
-
(2003)
Pattern Recognit Lett
, vol.24
, Issue.15
, pp. 2883-2893
-
-
Cheung, Y.1
-
16
-
-
84862701443
-
A clustering approach for sampling data streams in sensor networks
-
doi: 10. 1007/s10115-011-0448-7
-
Da Silva A, Chiky R, Hébrail G (2011) A clustering approach for sampling data streams in sensor networks. Knowl Inf Syst. doi: 10. 1007/s10115-011-0448-7.
-
(2011)
Knowl Inf Syst
-
-
Da Silva, A.1
Chiky, R.2
Hébrail, G.3
-
20
-
-
75149150690
-
Reusable components for partitioning clustering algorithms
-
doi:10.1007/s10462-009-9133-6
-
Delibašić B, Kirchner K, Ruhland J et al (2009) Reusable components for partitioning clustering algorithms. Artif Intell Rev 32: 59-75. doi: 10. 1007/s10462-009-9133-6.
-
(2009)
Artif Intell Rev
, vol.32
, pp. 59-75
-
-
Delibašić, B.1
Kirchner, K.2
Ruhland, J.3
-
21
-
-
17944394324
-
Fuzzy C-means method for clustering microarray data
-
Dembélé D, Kastner P (2003) Fuzzy C-means method for clustering microarray data. Bioinformatics 19: 973-980.
-
(2003)
Bioinformatics
, vol.19
, pp. 973-980
-
-
Dembélé, D.1
Kastner, P.2
-
26
-
-
73049108426
-
Collaborative clustering with background knowledge
-
doi:10.1016/j.datak.2009.10.004
-
Forestier G, Gançarski P, Wemmert C (2010) Collaborative clustering with background knowledge. Data Knowl Eng 69(2): 211-228. doi: 10. 1016/j. datak. 2009. 10. 004.
-
(2010)
Data Knowl Eng
, vol.69
, Issue.2
, pp. 211-228
-
-
Forestier, G.1
Gançarski, P.2
Wemmert, C.3
-
27
-
-
69249203645
-
K-boost: A scalable algorithm for high-quality clustering of microarray gene expression data
-
doi:10.1089/cmb.2008.0201
-
Geraci F, Leoncini M, Montangero M et al (2009) K-boost: A scalable algorithm for high-quality clustering of microarray gene expression data. J Comput Biol J Comput Mol Cell Biol 16(6): 859-873. doi: 10. 1089/cmb. 2008. 0201.
-
(2009)
J Comput Biol J Comput Mol Cell Biol
, vol.16
, Issue.6
, pp. 859-873
-
-
Geraci, F.1
Leoncini, M.2
Montangero, M.3
-
28
-
-
78651336872
-
Speeding up the consensus clustering methodology for microarray data analysis
-
doi: 10. 1186/1748-7188-6-1
-
Giancarlo R, Utro F (2011) Speeding up the consensus clustering methodology for microarray data analysis. Algorithms Mol Biol AMB 6(1). doi: 10. 1186/1748-7188-6-1.
-
(2011)
Algorithms Mol Biol AMB
, vol.6
, Issue.1
-
-
Giancarlo, R.1
Utro, F.2
-
29
-
-
77954619865
-
Distance functions, clustering algorithms and microarray data analysis
-
In: Blum C, Battiti R (eds)
-
Giancarlo R, Lo Bosco G, Pinello L (2010) Distance functions, clustering algorithms and microarray data analysis. In: Blum C, Battiti R (eds) Learning and intelligent, optimization, vol 6073, pp 125-138.
-
(2010)
Learning and intelligent, optimization
, vol.6073
, pp. 125-138
-
-
Giancarlo, R.1
Lo Bosco, G.2
Pinello, L.3
-
30
-
-
84859336846
-
Using principal components analysis and clustering analysis to assess the similarity between conveyor belts
-
Grujic M, Andrejiová M, Marasová D et al (2012) Using principal components analysis and clustering analysis to assess the similarity between conveyor belts. Tech Technol Educ Manag TTEM 7(1): 4-10.
-
(2012)
Tech Technol Educ Manag TTEM
, vol.7
, Issue.1
, pp. 4-10
-
-
Grujic, M.1
Andrejiová, M.2
Marasová, D.3
-
33
-
-
0001138328
-
A K-means clustering algorithm
-
Hartigan JA, Wong MA (1979) A K-means clustering algorithm. Appl Stat 28: 100-108.
-
(1979)
Appl Stat
, vol.28
, pp. 100-108
-
-
Hartigan, J.A.1
Wong, M.A.2
-
34
-
-
77954195198
-
LCE: A link-based cluster ensemble method for improved gene expression data analysis
-
Iam-on N, Boongoen T, Garrett S (2010) LCE: A link-based cluster ensemble method for improved gene expression data analysis. Bioinformatics 26: 1513-1519.
-
(2010)
Bioinformatics
, vol.26
, pp. 1513-1519
-
-
Iam-On, N.1
Boongoen, T.2
Garrett, S.3
-
37
-
-
84874277382
-
Comparative analysis of k-mean based algorithms
-
Kumar P, Wasan SK (2010) Comparative analysis of k-mean based algorithms. Intl J Comput Sci Netw Secur 10(4): 314-318.
-
(2010)
Intl J Comput Sci Netw Secur
, vol.10
, Issue.4
, pp. 314-318
-
-
Kumar, P.1
Wasan, S.K.2
-
38
-
-
79951676428
-
Document clustering using synthetic cluster prototypes
-
doi:j.datak.2010.12.002
-
Kalogeratos A, Likas A (2011) Document clustering using synthetic cluster prototypes. Data Knowl Eng 70(3): 284-306. doi: j. datak. 2010. 12. 002.
-
(2011)
Data Knowl Eng
, vol.70
, Issue.3
, pp. 284-306
-
-
Kalogeratos, A.1
Likas, A.2
-
39
-
-
0020102027
-
Least squares quantization in PCM
-
doi:10.1109/TIT.1982.1056489
-
Lloyd S (1982) Least squares quantization in PCM. IEEE Trans Inf Theory 28(2): 129-137. doi: 10. 1109/TIT. 1982. 1056489.
-
(1982)
IEEE Trans Inf Theory
, vol.28
, Issue.2
, pp. 129-137
-
-
Lloyd, S.1
-
40
-
-
84965559165
-
Methodology review: clustering methods
-
doi:10.1177/014662168701100401
-
Milligan GW, Cooper MC (1987) Methodology review: clustering methods. Appl Psychol Meas 11(4): 329-354. doi: 10. 1177/014662168701100401.
-
(1987)
Appl Psychol Meas
, vol.11
, Issue.4
, pp. 329-354
-
-
Milligan, G.W.1
Cooper, M.C.2
-
41
-
-
84861100607
-
Wiki as a corporate learning tool: case study for software development company
-
doi: 10. 1080/0144929X. 2011. 642894
-
Milovanović M, Minović M, Štavljanin V et al (2012) Wiki as a corporate learning tool: case study for software development company. Behav Inf Technol. doi: 10. 1080/0144929X. 2011. 642894.
-
(2012)
Behav Inf Technol
-
-
Milovanović, M.1
Minović, M.2
Štavljanin, V.3
-
42
-
-
79959900734
-
Game design as a learning tool for the course of computer Networks
-
Minović M, Milovanović M, Kovačević I, Minović J, Starčević D (2011) Game design as a learning tool for the course of computer Networks. Intern J Eng Educ 27(3): 498-508.
-
(2011)
Intern J Eng Educ
, vol.27
, Issue.3
, pp. 498-508
-
-
Minović, M.1
Milovanović, M.2
Kovačević, I.3
Minović, J.4
Starčević, D.5
-
43
-
-
71949123741
-
Subspace and projected clustering: experimental evaluation and analysis
-
doi:10.1007/s10115-009-0226-y
-
Moise G, Zimek A, Kröger P et al (2009) Subspace and projected clustering: experimental evaluation and analysis. Knowl Inf Syst 21(3): 299-326. doi: 10. 1007/s10115-009-0226-y.
-
(2009)
Knowl Inf Syst
, vol.21
, Issue.3
, pp. 299-326
-
-
Moise, G.1
Zimek, A.2
Kröger, P.3
-
44
-
-
0038724494
-
Consensus clustering: A resampling-based method for class discovery and visualization of gene expression microarray data
-
doi:10.1023/A:1023949509487
-
Monti S, Tamayo P, Mesirov J et al (2003) Consensus clustering: A resampling-based method for class discovery and visualization of gene expression microarray data. Mach Learn 52: 91-118. doi: 10. 1023/A: 1023949509487.
-
(2003)
Mach Learn
, vol.52
, pp. 91-118
-
-
Monti, S.1
Tamayo, P.2
Mesirov, J.3
-
46
-
-
73449106435
-
Investigation of a new GRASP-based clustering algorithm applied to biological data
-
doi:10.1016/j.cor.2009.02.014
-
Nascimento MCV, Toledo FMB, Carvalho A (2010) Investigation of a new GRASP-based clustering algorithm applied to biological data. Comput Oper Res 37(8): 1381-1388. doi: 10. 1016/j. cor. 2009. 02. 014.
-
(2010)
Comput Oper Res
, vol.37
, Issue.8
, pp. 1381-1388
-
-
Nascimento, M.C.V.1
Toledo, F.M.B.2
Carvalho, A.3
-
47
-
-
0001820920
-
X-means: extending K-means with efficient estimation of the number of clusters
-
Pelleg D, Moore A (2000) X-means: extending K-means with efficient estimation of the number of clusters. In: Proceedings of the seventeenth international conference on machine learning, vol 17, Morgan Kaufmann, Los Altos, pp 727-734.
-
(2000)
In: Proceedings of the seventeenth international conference on machine learning, vol 17, Morgan Kaufmann, Los Altos
, pp. 727-734
-
-
Pelleg, D.1
Moore, A.2
-
48
-
-
23944451661
-
Microarray data mining: facing the challenges
-
doi:10.1145/980972.980974
-
Piatetsky-Shapiro G, Tamayo P (2003) Microarray data mining: facing the challenges. ACM SIGKDD Explor Newsl 5(2): 1-5. doi: 10. 1145/980972. 980974.
-
(2003)
ACM SIGKDD Explor Newsl
, vol.5
, Issue.2
, pp. 1-5
-
-
Piatetsky-Shapiro, G.1
Tamayo, P.2
-
49
-
-
49749128817
-
Consensus-based ensembles of soft clusterings
-
Punera K, Ghosh J (2008) Consensus-based ensembles of soft clusterings. Appl Artif Intell 22: 780-810.
-
(2008)
Appl Artif Intell
, vol.22
, pp. 780-810
-
-
Punera, K.1
Ghosh, J.2
-
50
-
-
79251523530
-
Performance of an ensemble clustering on biological datasets
-
Pirim H, Gautam D, Bhowmik T (2011) Performance of an ensemble clustering on biological datasets. Math Comput Appl 16(1): 87-96.
-
(2011)
Math Comput Appl
, vol.16
, Issue.1
, pp. 87-96
-
-
Pirim, H.1
Gautam, D.2
Bhowmik, T.3
-
51
-
-
0035375137
-
Computational analysis of microarray data
-
Quackenbush J (2001) Computational analysis of microarray data. Nat Rev Genet 2: 418-427.
-
(2001)
Nat Rev Genet
, vol.2
, pp. 418-427
-
-
Quackenbush, J.1
-
52
-
-
80053490675
-
Application of density based clustering to microarray data analysis
-
Raczynski L, Wozniak K, Rubel T, Zaremba K (2010) Application of density based clustering to microarray data analysis. Int J Electron Telecommun 56(3): 281-286.
-
(2010)
Int J Electron Telecommun
, vol.56
, Issue.3
, pp. 281-286
-
-
Raczynski, L.1
Wozniak, K.2
Rubel, T.3
Zaremba, K.4
-
53
-
-
77958153220
-
Educational data mining: A review of the state-of-the-art
-
Romero C, Ventura S (2011) Educational data mining: A review of the state-of-the-art. IEEE Trans Syst Man Cybern C Appl Rev 40(6): 601-618.
-
(2011)
IEEE Trans Syst Man Cybern C Appl Rev
, vol.40
, Issue.6
, pp. 601-618
-
-
Romero, C.1
Ventura, S.2
-
54
-
-
0023453329
-
Silhouettes: A graphical aid to the interpretation and validation of cluster analysis
-
doi:10.1016/0377-0427(87)90125-7
-
Rousseeuw PJ (1987) Silhouettes: A graphical aid to the interpretation and validation of cluster analysis. J Comput Appl Math 20: 53-65. doi: 10. 1016/0377-0427(87)90125-7.
-
(1987)
J Comput Appl Math
, vol.20
, pp. 53-65
-
-
Rousseeuw, P.J.1
-
55
-
-
84861092784
-
Diversity of specific quantitative, statistical and social methods, techniques and management models in management system
-
Savoiu G, Jaško O, Čudanov M (2010) Diversity of specific quantitative, statistical and social methods, techniques and management models in management system. Management 14(52): 5-13.
-
(2010)
Management
, vol.14
, Issue.52
, pp. 5-13
-
-
Savoiu, G.1
Jaško, O.2
Čudanov, M.3
-
56
-
-
22044455069
-
Density-based clustering in spatial databases: the algorithm GDBSCAN and its applications
-
Sander J, Ester M, Kriegel H et al (1998) Density-based clustering in spatial databases: the algorithm GDBSCAN and its applications. Data Min Knowl Disc 2(2): 169-194.
-
(1998)
Data Min Knowl Disc
, vol.2
, Issue.2
, pp. 169-194
-
-
Sander, J.1
Ester, M.2
Kriegel, H.3
-
57
-
-
0000120766
-
Estimating the dimension of a model
-
Schwarz G (1978) Estimating the dimension of a model. Ann Stat 6(2): 461-464.
-
(1978)
Ann Stat
, vol.6
, Issue.2
, pp. 461-464
-
-
Schwarz, G.1
-
58
-
-
84857178576
-
Detection of arbitrarily oriented synchronized clusters in high-dimensional data
-
doi: 10. 1109/ICDM. 2011. 50
-
Shao J, Plant C, Yang Q, Böhm C (2011) Detection of arbitrarily oriented synchronized clusters in high-dimensional data. In: Proceedings of 11th IEEE international conference on data mining (ICDM), pp 607-616, doi: 10. 1109/ICDM. 2011. 50.
-
(2011)
In: Proceedings of 11th IEEE international conference on data mining (ICDM)
, pp. 607-616
-
-
Shao, J.1
Plant, C.2
Yang, Q.3
Böhm, C.4
-
59
-
-
84859896284
-
Sleeved co-clustering of lagged data
-
doi: 10. 1007/s10115-011-0420-6
-
Shaham E, Sarne D, Ben-Moshe B (2011) Sleeved co-clustering of lagged data. Knowl Inf Syst. doi: 10. 1007/s10115-011-0420-6.
-
(2011)
Knowl Inf Syst
-
-
Shaham, E.1
Sarne, D.2
Ben-Moshe, B.3
-
60
-
-
78650934307
-
Management of family farms-Implementation of fuzzy method in short-term planning
-
Sedlak O, Kocic-Vugdelija V, Kudumovic M et al (2010) Management of family farms-Implementation of fuzzy method in short-term planning. Tech Technol Educ Manag TTEM 5(4): 710-718.
-
(2010)
Tech Technol Educ Manag TTEM
, vol.5
, Issue.4
, pp. 710-718
-
-
Sedlak, O.1
Kocic-Vugdelija, V.2
Kudumovic, M.3
-
62
-
-
35748939406
-
The need for open source software in machine learning
-
Sonnenburg S, Braun M, Ong CS et al (2007) The need for open source software in machine learning. J Mach Learn Res 8: 2443-2466.
-
(2007)
J Mach Learn Res
, vol.8
, pp. 2443-2466
-
-
Sonnenburg, S.1
Braun, M.2
Ong, C.S.3
-
63
-
-
33750021210
-
Evaluation and comparison of gene clustering methods in microarray analysis
-
Thalamuthu A, Mukhopadhyay I, Zheng X et al (2006) Evaluation and comparison of gene clustering methods in microarray analysis. Bioinformatics 22: 2405-2412.
-
(2006)
Bioinformatics
, vol.22
, pp. 2405-2412
-
-
Thalamuthu, A.1
Mukhopadhyay, I.2
Zheng, X.3
-
64
-
-
78649420560
-
Information theoretic measures for clusterings comparison: variants, properties, normalization and correction for chance
-
Vinh NX (2010) Information theoretic measures for clusterings comparison: variants, properties, normalization and correction for chance. J Mach Learn Res 11: 2837-2854.
-
(2010)
J Mach Learn Res
, vol.11
, pp. 2837-2854
-
-
Vinh, N.X.1
-
65
-
-
84856050307
-
Internal evaluation measures as proxies for external indices in clustering gene expression data
-
Atlanta, 12-15 Nov
-
Vukicevic M, Delibasic B, Jovanovic M, Suknovic M, Obradovic Z (2011) Internal evaluation measures as proxies for external indices in clustering gene expression data. In: Proceedings of the 2011 IEEE international conference on bioinformatics and biomedicine (BIBM11). Atlanta, 12-15 Nov.
-
(2011)
In: Proceedings of the 2011 IEEE international conference on bioinformatics and biomedicine (BIBM11)
-
-
Vukicevic, M.1
Delibasic, B.2
Jovanovic, M.3
Suknovic, M.4
Obradovic, Z.5
-
66
-
-
84867097182
-
Web user clustering and web prefetching using random indexing with weight functions
-
doi: 10. 1007/s10115-011-0453-x
-
Wan M, Jönsson A, Wang C, Li L, Yang Y (2011) Web user clustering and web prefetching using random indexing with weight functions. Knowl Inf Syst. doi: 10. 1007/s10115-011-0453-x.
-
(2011)
Knowl Inf Syst
-
-
Wan, M.1
Jönsson, A.2
Wang, C.3
Li, L.4
Yang, Y.5
-
68
-
-
0036649020
-
Large-scale prediction of Saccharomyces cerevisiae gene function using overlapping transcriptional clusters
-
Wu LF, Hughes TR, Davierwala AP (2002) Large-scale prediction of Saccharomyces cerevisiae gene function using overlapping transcriptional clusters. Nat genet 31: 255-265.
-
(2002)
Nat Genet
, vol.31
, pp. 255-265
-
-
Wu, L.F.1
Hughes, T.R.2
Davierwala, A.P.3
-
69
-
-
37549018049
-
Top 10 algorithms in data mining
-
doi:10.1007/s10115-007-0114-2
-
Wu X, Kumar V, Quinlan JR et al (2007) Top 10 algorithms in data mining. Knowl Inf Syst 14(1): 1-37. doi: 10. 1007/s10115-007-0114-2.
-
(2007)
Knowl Inf Syst
, vol.14
, Issue.1
, pp. 1-37
-
-
Wu, X.1
Kumar, V.2
Quinlan, J.R.3
-
70
-
-
0026204245
-
A validity measure for fuzzy clustering
-
Xie XL, Beni G (1991) A validity measure for fuzzy clustering. IEEE Trans Patt Anal Mach Intell 13(8): 841-847.
-
(1991)
IEEE Trans Patt Anal Mach Intell
, vol.13
, Issue.8
, pp. 841-847
-
-
Xie, X.L.1
Beni, G.2
-
71
-
-
78650121315
-
Clustering algorithms in biomedical research: A review
-
doi:10.1109/RBME.2010.2083647
-
Xu R, Wunsch DC (2010) Clustering algorithms in biomedical research: A review. IEEE Rev Biomed Eng 3: 120-154. doi: 10. 1109/RBME. 2010. 2083647.
-
(2010)
IEEE Rev Biomed Eng
, vol.3
, pp. 120-154
-
-
Xu, R.1
Wunsch, D.C.2
-
72
-
-
84872326145
-
Semi-supervised fuzzy co-clustering algorithm for document classification
-
doi: 10. 1007/s10115-011-0454-9
-
Yan Y, Chen L, Tjhi W-C (2011) Semi-supervised fuzzy co-clustering algorithm for document classification. Knowl Inf Syst. doi: 10. 1007/s10115-011-0454-9.
-
(2011)
Knowl Inf Syst
-
-
Yan, Y.1
Chen, L.2
Tjhi, W.-C.3
-
73
-
-
36448947175
-
Graph-based consensus clustering for class discovery from gene expression data
-
Yu Z, Wong H-S, Wang H (2007) Graph-based consensus clustering for class discovery from gene expression data. Bioinformatics 23: 2888-2896.
-
(2007)
Bioinformatics
, vol.23
, pp. 2888-2896
-
-
Yu, Z.1
Wong, H.-S.2
Wang, H.3
|