-
1
-
-
34250115918
-
An examination of procedures for determining the number of clusters in a data set
-
Milligan, G.W., Cooper, M.C.: An examination of procedures for determining the number of clusters in a data set. Psychometrika 50, 159-179 (1985)
-
(1985)
Psychometrika
, vol.50
, pp. 159-179
-
-
Milligan, G.W.1
Cooper, M.C.2
-
2
-
-
0036011451
-
An examination of indexes for determining the number of clusters in binary data sets
-
Dimitriadou, E., Dolnicar, S., Weingassel, A.: An examination of indexes for determining the number of clusters in binary data sets. Psychometrika 67(1), 137-160 (2002)
-
(2002)
Psychometrika
, vol.67
, Issue.1
, pp. 137-160
-
-
Dimitriadou, E.1
Dolnicar, S.2
Weingassel, A.3
-
3
-
-
84972893020
-
-
Calinski, T., Harabasz, J.: A dendrite method for cluster analysis. Communication in statistics 3,1.-27 (1974)
-
Calinski, T., Harabasz, J.: A dendrite method for cluster analysis. Communication in statistics 3,1.-27 (1974)
-
-
-
-
4
-
-
84941155240
-
Well separated clusters and optimal fuzzy partitions
-
Dunn, J.C.: Well separated clusters and optimal fuzzy partitions. Journal of Cybernetica 4, 95-104 (1974)
-
(1974)
Journal of Cybernetica
, vol.4
, pp. 95-104
-
-
Dunn, J.C.1
-
5
-
-
0032098774
-
Some new indexes of cluster validity
-
Bezdek, J.C., Pal, N.R.: Some new indexes of cluster validity. IEEE Transactions on Systems, Man and Cybernetics, Part B 28(3), 301-315 (1998)
-
(1998)
IEEE Transactions on Systems, Man and Cybernetics, Part B
, vol.28
, Issue.3
, pp. 301-315
-
-
Bezdek, J.C.1
Pal, N.R.2
-
7
-
-
85143001779
-
-
Xie, X.L., Beni, G.: A validity measure for fuzzy clustering. IEEE Trans. on Pattern Analysis and Machine Intelligence 1.3(8), 841-847 (199.1)
-
Xie, X.L., Beni, G.: A validity measure for fuzzy clustering. IEEE Trans. on Pattern Analysis and Machine Intelligence 1.3(8), 841-847 (199.1)
-
-
-
-
9
-
-
0003862207
-
How many clusters? Which clustering method? answers via model-based cluster analysis
-
Technical Report no. 329, Department of Statistics, University of Washington
-
Frayley, C., Raftery, A.: How many clusters? Which clustering method? answers via model-based cluster analysis. Technical Report no. 329, Department of Statistics, University of Washington (1998)
-
(1998)
-
-
Frayley, C.1
Raftery, A.2
-
11
-
-
0023905024
-
A criterion for determining the number of groups in a data set using sum-of-squares clustering
-
Krzanowski, W.J., Lai, Y.T.: A criterion for determining the number of groups in a data set using sum-of-squares clustering. Biometrics 44(1), 23-34 (1988)
-
(1988)
Biometrics
, vol.44
, Issue.1
, pp. 23-34
-
-
Krzanowski, W.J.1
Lai, Y.T.2
-
13
-
-
27944462549
-
A reference Bayesian test for nested Hypotheses and its relationship to the Schwarz Criterion
-
Kass, R.E., Wasserman, L.: A reference Bayesian test for nested Hypotheses and its relationship to the Schwarz Criterion. Journal of the American Statistical Association 90(431), 928-934 (1995)
-
(1995)
Journal of the American Statistical Association
, vol.90
, Issue.431
, pp. 928-934
-
-
Kass, R.E.1
Wasserman, L.2
-
14
-
-
0034345982
-
Randomized local search algorithm for the clustering problem
-
Fränti, P., Kivijärvi, J.: Randomized local search algorithm for the clustering problem. Pattern Analysis and Applications 3(4), 358-369 (2000)
-
(2000)
Pattern Analysis and Applications
, vol.3
, Issue.4
, pp. 358-369
-
-
Fränti, P.1
Kivijärvi, J.2
|