-
1
-
-
0027453616
-
Model-based Gaussian and Non-Gaussian Clustering
-
BANFIELD, J. D., and RAFTERY, A. E. (1993), "Model-based Gaussian and Non-Gaussian Clustering", Biometrics, 49, 803-821.
-
(1993)
Biometrics
, vol.49
, pp. 803-821
-
-
Banfield, J.D.1
Raftery, A.E.2
-
2
-
-
41549083587
-
Determining the Number of Groups from Measures of Cluster Stability
-
BEL MUFTI, G, BERTRAND, P., and EL MOUBARKI, L. (2005), "Determining the Number of Groups from Measures of Cluster Stability", in Proceedings of International Symposium on Applied Stochastic Models and Data Analysis, pp. 404-412.
-
(2005)
Proceedings of International Symposium on Applied Stochastic Models and Data Analysis
, pp. 404-412
-
-
Bel Mufti, G.1
Bertrand, P.2
El Moubarki, L.3
-
4
-
-
67749150743
-
Clustering Methods: A History of k-Means Algorithms
-
P. Brito, P. Bertrand, G. Cucumel, and F. CarvalhoDe (Eds.), Heidelberg: Springer Verlag
-
BOCK, H.-H. (2007), "Clustering Methods: A History of k-Means Algorithms", in Selected Contributions in Data Analysis and Classification, eds. P. Brito, P. Bertrand, G. Cucumel, and F. De Carvalho, Heidelberg: Springer Verlag, pp. 161-172.
-
(2007)
Selected Contributions in Data Analysis and Classification
, pp. 161-172
-
-
Bock, H.-H.1
-
5
-
-
0000642069
-
Replicating Cluster Analysis: Method, Consistency and Validity
-
BRECKENRIDGE, J. (1989), "Replicating Cluster Analysis: Method, Consistency and Validity", Multivariate Behavioral Research, 24, 147-61.
-
(1989)
Multivariate Behavioral Research
, vol.24
, pp. 147-161
-
-
Breckenridge, J.1
-
6
-
-
84972893020
-
A Dendrite Method for Cluster Analysis
-
CALINSKI, T., and HARABASZ, J. (1974), "A Dendrite Method for Cluster Analysis", Communications in Statistics, 3(1), 1-27.
-
(1974)
Communications in Statistics
, vol.3
, Issue.1
, pp. 1-27
-
-
Calinski, T.1
Harabasz, J.2
-
7
-
-
9444279511
-
-
Text, Speech and Dialogue: 6th International Conference, Czech Republic
-
CASILLAS, A., GONZALES DE LENA, M. T., and MARTINEZ, H. (2003), "Document Clustering into an Unknown Number of Clusters Using a Genetic Algorithm", Text, Speech and Dialogue: 6th International Conference, Czech Republic, pp. 43-49.
-
(2003)
Document Clustering into an Unknown Number of Clusters Using a Genetic Algorithm
, pp. 43-49
-
-
Casillas, A.1
Gonzales de Lena, M.T.2
Martinez, H.3
-
8
-
-
33646944424
-
A Method of Predicting the Number of Clusters Using Rand's Statistic
-
CHAE, S. S., DUBIEN, J. L., and WARDE, W. D. (2006), "A Method of Predicting the Number of Clusters Using Rand's Statistic", Computational Statistics and Data Analysis, 50 (12), 3531-3546.
-
(2006)
Computational Statistics and Data Analysis
, vol.50
, Issue.12
, pp. 3531-3546
-
-
Chae, S.S.1
Dubien, J.L.2
Warde, W.D.3
-
9
-
-
0036011451
-
An Examination of Indexes for Determining the Number of Clusters in Binary Data Sets
-
DIMITRIADOU, E., DOLNICAR, S., and WEINGASSEL, A. (2002), "An Examination of Indexes for Determining the Number of Clusters in Binary Data Sets", Psychometrika, 67(1), 137-160.
-
(2002)
Psychometrika
, vol.67
, Issue.1
, pp. 137-160
-
-
Dimitriadou, E.1
Dolnicar, S.2
Weingassel, A.3
-
11
-
-
0037172724
-
A Prediction-Based Resampling Method for Estimating the Number of Clusters in a Dataset
-
research 0036. 1-0036. 21
-
DUDOIT, S., and FRIDLYAND, J. (2002), "A Prediction-Based Resampling Method for Estimating the Number of Clusters in a Dataset", Genome Biology, 3(7), research 0036. 1-0036. 21.
-
(2002)
Genome Biology
, Issue.3-7
-
-
Dudoit, S.1
Fridlyand, J.2
-
13
-
-
0003641269
-
-
U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy (Eds.), Menlo Park, CA: AAAI Press/The MIT Press
-
FAYYAD, U. M., PIATETSKY-SHAPIRO, G., SMYTH, P., and UTHURUSAMY, R. (eds.) (1996), Advances in Knowledge Discovery and Data Mining, Menlo Park, CA: AAAI Press/The MIT Press.
-
(1996)
Advances in Knowledge Discovery and Data Mining
-
-
-
14
-
-
58549087543
-
PG-Means: Learning the Number of Clusters in Data
-
Cambridge MA: MIT Press
-
FENG, Y., and HAMERLY, G. (2006), "PG-Means: Learning the Number of Clusters in Data", Advances in Neural Information Processing Systems, 19 (NIPS Proceeding), Cambridge MA: MIT Press, pp. 393-400.
-
(2006)
Advances in Neural Information Processing Systems, 19 (NIPS Proceeding)
, pp. 393-400
-
-
Feng, Y.1
Hamerly, G.2
-
15
-
-
0035998835
-
Model-based Clustering, Discriminant Analysis, and Density Estimation
-
FRALEY, C., and RAFTERY, A. E. (2002), "Model-based Clustering, Discriminant Analysis, and Density Estimation", Journal of the American Statistical Association, 97 (458), 611-631.
-
(2002)
Journal of the American Statistical Association
, vol.97
, Issue.458
, pp. 611-631
-
-
Fraley, C.1
Raftery, A.E.2
-
16
-
-
77953026462
-
-
GENERATION OF GAUSSIAN MIXTURE DISTRIBUTED DATA
-
GENERATION OF GAUSSIAN MIXTURE DISTRIBUTED DATA (2006), NETLAB neural network software, http://www. ncrg. aston. ac. uk/netlab.
-
(2006)
NETLAB neural network software
-
-
-
17
-
-
19044364181
-
Optimising k-means Clustering Results with Standard Software Packages
-
HAND, D. J., and KRZANOWSKI, W. J. (2005), "Optimising k-means Clustering Results with Standard Software Packages", Computational Statistics and Data Analysis, 49, 969-973.
-
(2005)
Computational Statistics and Data Analysis
, vol.49
, pp. 969-973
-
-
Hand, D.J.1
Krzanowski, W.J.2
-
18
-
-
0034819175
-
J-MEANS: A New Local Search Heuristic for Minimum Sum of Squares Clustering
-
HANSEN, P., and MLADENOVIC, N. (2001), "J-MEANS: A New Local Search Heuristic for Minimum Sum of Squares Clustering", Pattern Recognition, 34, 405-413.
-
(2001)
Pattern Recognition
, vol.34
, pp. 405-413
-
-
Hansen, P.1
Mladenovic, N.2
-
21
-
-
0000008146
-
Comparing Partitions
-
HUBERT, L. J., and ARABIE, P. (1985), "Comparing Partitions", Journal of Classification, 2, 193-218.
-
(1985)
Journal of Classification
, vol.2
, pp. 193-218
-
-
Hubert, L.J.1
Arabie, P.2
-
22
-
-
0001518855
-
A General Statistical Framework for Assessing Categorical Clustering in Free Recall
-
HUBERT, L. J., and LEVIN, J. R. (1976), "A General Statistical Framework for Assessing Categorical Clustering in Free Recall", Psychological Bulletin, 83, 1072-1080.
-
(1976)
Psychological Bulletin
, vol.83
, pp. 1072-1080
-
-
Hubert, L.J.1
Levin, J.R.2
-
23
-
-
33751272141
-
An Expansion of X-Means for Automatically Determining the Optimal Number of Clusters
-
Calgary AB, Canada
-
ISHIOKA, T. (2005), "An Expansion of X-Means for Automatically Determining the Optimal Number of Clusters", Proceedings of International Conference on Computational Intelligence, Calgary AB, Canada, pp. 91-96.
-
(2005)
Proceedings of International Conference on Computational Intelligence
, pp. 91-96
-
-
Ishioka, T.1
-
26
-
-
0023905024
-
A Criterion for Determining the Number of Groups in a Dataset Using Sum of Squares Clustering
-
KRZANOWSKI W., and LAI Y. (1985), "A Criterion for Determining the Number of Groups in a Dataset Using Sum of Squares Clustering", Biometrics, 44, 23-34.
-
(1985)
Biometrics
, vol.44
, pp. 23-34
-
-
Krzanowski, W.1
Lai, Y.2
-
27
-
-
33947159574
-
Evaluation of Stability of K-Means Cluster Ensembles with Respect to Random Initialization
-
KUNCHEVA, L. I., and VETROV, D. P. (2005), "Evaluation of Stability of K-Means Cluster Ensembles with Respect to Random Initialization", IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(11), 1798-1808.
-
(2005)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.28
, Issue.11
, pp. 1798-1808
-
-
Kuncheva, L.I.1
Vetrov, D.P.2
-
29
-
-
0033715579
-
Genetic Algorithm-based Clustering Technique
-
MAULIK, U., and BANDYOPADHYAY, S. (2000), "Genetic Algorithm-based Clustering Technique", Pattern Recognition, 33, 1455-1465.
-
(2000)
Pattern Recognition
, vol.33
, pp. 1455-1465
-
-
Maulik, U.1
Bandyopadhyay, S.2
-
30
-
-
23744437299
-
On a Resampling Approach for Tests on the Number of Clusters with Mixture Model-Based Clustering of Tissue Samples
-
MCLACHLAN, G. J., and KHAN, N. (2004), "On a Resampling Approach for Tests on the Number of Clusters with Mixture Model-Based Clustering of Tissue Samples", Journal of Multivariate Analysis, 90, 990-1005.
-
(2004)
Journal of Multivariate Analysis
, vol.90
, pp. 990-1005
-
-
McLachlan, G.J.1
Khan, N.2
-
33
-
-
0000228352
-
A Monte-Carlo Study of Thirty Internal Criterion Measures for Cluster Analysis
-
MILLIGAN, G. W. (1981), "A Monte-Carlo Study of Thirty Internal Criterion Measures for Cluster Analysis", Psychometrika, 46, 187-199.
-
(1981)
Psychometrika
, vol.46
, pp. 187-199
-
-
Milligan, G.W.1
-
34
-
-
34250115918
-
An Examination of Procedures for Determining the Number of Clusters in a Data Set
-
MILLIGAN, G. W., and COOPER, M. C. (1985), "An Examination of Procedures for Determining the Number of Clusters in a Data Set", Psychometrika, 50, 159-179.
-
(1985)
Psychometrika
, vol.50
, pp. 159-179
-
-
Milligan, G.W.1
Cooper, M.C.2
-
35
-
-
0000235019
-
A Study of Standardization of Variables in Cluster Analysis
-
MILLIGAN, G. W., and COOPER, M. C. (1988), "A Study of Standardization of Variables in Cluster Analysis", Journal of Classification, 5, 181-204.
-
(1988)
Journal of Classification
, vol.5
, pp. 181-204
-
-
Milligan, G.W.1
Cooper, M.C.2
-
36
-
-
12744281466
-
A Comparison of Resampling Methods for Clustering Ensembles
-
Las Vegas, Nevada
-
MINAEI-BIDGOLI, B., TOPCHY, A., and PUNCH, W. F. (2004), "A Comparison of Resampling Methods for Clustering Ensembles", International Conference on Machine Learning; Models, Technologies and Application (MLMTA04), Las Vegas, Nevada, pp. 939-945.
-
(2004)
International Conference on Machine Learning; Models, Technologies and Application (MLMTA04)
, pp. 939-945
-
-
Minaei-Bidgoli, B.1
Topchy, A.2
Punch, W.F.3
-
37
-
-
0001090009
-
Sequential Fitting Procedures for Linear Data Aggregation Model
-
MIRKIN, B. (1990), "Sequential Fitting Procedures for Linear Data Aggregation Model", Journal of Classification, 7, 167-195.
-
(1990)
Journal of Classification
, vol.7
, pp. 167-195
-
-
Mirkin, B.1
-
40
-
-
0038724494
-
Consensus Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data
-
MONTI, S., TAMAYO, P., MESIROV, J., and GOLUB, T. (2003), "Consensus Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data", Machine Learning, 52, 91-118.
-
(2003)
Machine Learning
, vol.52
, pp. 91-118
-
-
Monti, S.1
Tamayo, P.2
Mesirov, J.3
Golub, T.4
-
41
-
-
0000930268
-
Hierarchical Grouping Methods and Stopping Rules: An Evaluation
-
MOJENA, R. (1977), "Hierarchical Grouping Methods and Stopping Rules: An Evaluation", The Computer Journal, 20, 359-363.
-
(1977)
The Computer Journal
, vol.20
, pp. 359-363
-
-
Mojena, R.1
-
42
-
-
0021644144
-
Fitting Straight Lines to Point Patterns
-
MURTAGH, F., and RAFTERY, A. E. (1984), "Fitting Straight Lines to Point Patterns", Pattern Recognition, 17, 479-483.
-
(1984)
Pattern Recognition
, vol.17
, pp. 479-483
-
-
Murtagh, F.1
Raftery, A.E.2
-
43
-
-
0001820920
-
X-means: Extending K-Means with Efficient Estimation of the Number of Clusters
-
San-Francisco: Morgan Kaufmann
-
PELLEG, D., and MOORE, A. (2000), "X-means: Extending K-Means with Efficient Estimation of the Number of Clusters", Proceedings of 17th International Conference on Machine Learning, San-Francisco: Morgan Kaufmann, pp. 727-734.
-
(2000)
Proceedings of 17th International Conference on Machine Learning
, pp. 727-734
-
-
Pelleg, D.1
Moore, A.2
-
44
-
-
0033204902
-
An Empirical Comparison of Four Initialization Methods for K-Means Algorithm
-
PENA, J. M., LOZANO, J. A., and LARRANAGA P. (1999), "An Empirical Comparison of Four Initialization Methods for K-Means Algorithm", Pattern Recognition Letters, 20(10), 1027-1040.
-
(1999)
Pattern Recognition Letters
, vol.20
, Issue.10
, pp. 1027-1040
-
-
Pena, J.M.1
Lozano, J.A.2
Larranaga, P.3
-
46
-
-
25844523365
-
Determination of Cluster Number in Clustering Microarray Data
-
SHEN, J., CHANG, S. I., LEE, E. S., DENG, Y., and BROWN, S. J. (2005), "Determination of Cluster Number in Clustering Microarray Data", Applied Mathematics and Computation, 169, 1172-1185.
-
(2005)
Applied Mathematics and Computation
, vol.169
, pp. 1172-1185
-
-
Shen, J.1
Chang, S.I.2
Lee, E.S.3
Deng, Y.4
Brown, S.J.5
-
48
-
-
33744726077
-
Standardizing Variables in K-Means Clustering
-
D. Banks, L. House, F. R. McMorris, P. Arabie, and W. Gaul (Eds.), New York: Springer
-
STEINLEY, D. (2004), "Standardizing Variables in K-Means Clustering", in Classification, Clustering, and Data Mining Applications, eds. D. Banks, L. House, F. R. McMorris, P. Arabie and W. Gaul, New York: Springer, pp. 53-60.
-
(2004)
Classification, Clustering, and Data Mining Applications
, pp. 53-60
-
-
Steinley, D.1
-
50
-
-
34250871625
-
Initializing K-Means Batch Clustering: A Critical Evaluation of Several Techniques
-
STEINLEY, D., and BRUSCO M. (2007), "Initializing K-Means Batch Clustering: A Critical Evaluation of Several Techniques", Journal of Classification, 24, 99-121.
-
(2007)
Journal of Classification
, vol.24
, pp. 99-121
-
-
Steinley, D.1
Brusco, M.2
-
51
-
-
33744720321
-
OCLUS: An Analytic Method for Generating Clusters with Known Overlap
-
STEINLEY, D., and HENSON, R. (2005), "OCLUS: An Analytic Method for Generating Clusters with Known Overlap", Journal of Classification, 22, 221-250.
-
(2005)
Journal of Classification
, vol.22
, pp. 221-250
-
-
Steinley, D.1
Henson, R.2
-
52
-
-
0242679438
-
Finding the Number of Clusters in a Data Set: An Information-Theoretic Approach
-
SUGAR, C. A., and JAMES, G. M. (2003), "Finding the Number of Clusters in a Data Set: An Information-Theoretic Approach", Journal of American Statistical Association, 98(463), 750-778.
-
(2003)
Journal of American Statistical Association
, vol.98
, Issue.463
, pp. 750-778
-
-
Sugar, C.A.1
James, G.M.2
-
53
-
-
0035532141
-
Estimating the Number of Clusters in a Dataset via the Gap Statistics
-
TIBSHIRANI, R., WALTHER, G., and HASTIE, T. (2001), "Estimating the Number of Clusters in a Dataset via the Gap Statistics", Journal of the Royal Statistical Society B, 63, 411-423.
-
(2001)
Journal of the Royal Statistical Society B
, vol.63
, pp. 411-423
-
-
Tibshirani, R.1
Walther, G.2
Hastie, T.3
-
54
-
-
0038959172
-
Probabilistic Principal Component Analysis
-
TIPPING, M. E., and BISHOP, C. M. (1999), "Probabilistic Principal Component Analysis", Journal of the Royal Statistics Society, Series B 61, 611-622.
-
(1999)
Journal of the Royal Statistics Society, Series B
, vol.61
, pp. 611-622
-
-
Tipping, M.E.1
Bishop, C.M.2
-
56
-
-
26444503697
-
Nearest Neighbours in Least-Squares Data Imputation Algorithms with Different Missing Patterns
-
WASITO, I., and MIRKIN, B. (2006), "Nearest Neighbours in Least-Squares Data Imputation Algorithms with Different Missing Patterns", Computational Statistics & Data Analysis, 50, 926-949.
-
(2006)
Computational Statistics & Data Analysis
, vol.50
, pp. 926-949
-
-
Wasito, I.1
Mirkin, B.2
-
57
-
-
0034800371
-
Details of the Adjusted Rand Index and Clustering Algorithms
-
YEUNG, K. Y., and RUZZO, W. L. (2001), "Details of the Adjusted Rand Index and Clustering Algorithms", Bioinformatics, 17, 763-774.
-
(2001)
Bioinformatics
, vol.17
, pp. 763-774
-
-
Yeung, K.Y.1
Ruzzo, W.L.2
|