-
1
-
-
0027453616
-
Model-based Gaussian and non-Gaussian clustering
-
Banfield, J.D., & 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
-
3
-
-
0035534927
-
A variable-selection heuristic for K-means clustering
-
Brusco, M.J., & Cradit, J.D. (2001). A variable-selection heuristic for K-means clustering. Psychometrika, 66, 249-270.
-
(2001)
Psychometrika
, vol.66
, pp. 249-270
-
-
Brusco, M.J.1
Cradit, J.D.2
-
4
-
-
0033229533
-
HINoV: A new model to improve market segment definition by identifying noisy variables
-
Carmone, F.J., Kara, A., & Maxwell, S. (1999). HINoV: A new model to improve market segment definition by identifying noisy variables. Journal of Marketing Research, 36, 501-509.
-
(1999)
Journal of Marketing Research
, vol.36
, pp. 501-509
-
-
Carmone, F.J.1
Kara, A.2
Maxwell, S.3
-
6
-
-
0002629270
-
Maximum likelihood from incomplete data via the E-M algorithm
-
Dempster, A.P., Laird, N.M., & Rubin, D.B. (1977). Maximum likelihood from incomplete data via the E-M algorithm. Journal of the Royal Statistical Society, Series B, 39, 1-38.
-
(1977)
Journal of the Royal Statistical Society, Series B
, vol.39
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
7
-
-
0002414638
-
Synthesized clustering: A method for amalgamating alternative clustering bases with differential weighting of variables
-
DeSarbo, W.S., Carroll, J.D., Clark, L.A., & Green, P.E. (1984). Synthesized clustering: A method for amalgamating alternative clustering bases with differential weighting of variables. Psychometrika, 49, 57-78.
-
(1984)
Psychometrika
, vol.49
, pp. 57-78
-
-
Desarbo, W.S.1
Carroll, J.D.2
Clark, L.A.3
Green, P.E.4
-
8
-
-
0001332591
-
Optimal variable weighting for hierarchical clustering: An alternative least-squares algorithm
-
De Soete, G., DeSarbo, W.S., & Carroll, J.D. (1985). Optimal variable weighting for hierarchical clustering: An alternative least-squares algorithm. Journal of Classification, 2, 173-192.
-
(1985)
Journal of Classification
, vol.2
, pp. 173-192
-
-
De Soete, G.1
Desarbo, W.S.2
Carroll, J.D.3
-
9
-
-
21844523554
-
Univariate screening measures for cluster analysis
-
Donoghue, J.R. (1990). Univariate screening measures for cluster analysis. Multivariate Behavioral Research, 30, 385-427.
-
(1990)
Multivariate Behavioral Research
, vol.30
, pp. 385-427
-
-
Donoghue, J.R.1
-
12
-
-
0001739908
-
Variable selection in clustering
-
Fowlkes, E.B., Gnanadesikan, R., & Kettenring, J.R. (1988). Variable selection in clustering. Journal of Classification, 5, 205-228.
-
(1988)
Journal of Classification
, vol.5
, pp. 205-228
-
-
Fowlkes, E.B.1
Gnanadesikan, R.2
Kettenring, J.R.3
-
14
-
-
8644255832
-
Clustering objects on subsets of variables
-
Friedman, J.H., & Meulman, J.J. (2004). Clustering objects on subsets of variables. Journal of the Royal Statistical Society, Series B, 66, 1-25.
-
(2004)
Journal of the Royal Statistical Society, Series B
, vol.66
, pp. 1-25
-
-
Friedman, J.H.1
Meulman, J.J.2
-
15
-
-
0016102310
-
A projection pursuit algorithm for exploratory data analysis
-
Friedman, J.H., & Tukey, J.W. (1974). A projection pursuit algorithm for exploratory data analysis. IEEE Transactions on Computing, 23, 881-890.
-
(1974)
IEEE Transactions on Computing
, vol.23
, pp. 881-890
-
-
Friedman, J.H.1
Tukey, J.W.2
-
16
-
-
21844501258
-
Weighting and selection of variables for cluster analysis
-
Gnanadesikan, R., Kettenring, J.R., & Tsao, S.L. (1995). Weighting and selection of variables for cluster analysis. Journal of Classification, 12, 113-136.
-
(1995)
Journal of Classification
, vol.12
, pp. 113-136
-
-
Gnanadesikan, R.1
Kettenring, J.R.2
Tsao, S.L.3
-
17
-
-
43949152886
-
Global optimization of statistical functions with simulated annealing
-
Goffe, W.L., Ferrier, G.D., & Rogers, J. (1994). Global optimization of statistical functions with simulated annealing. Journal of Econometrics, 60, 65-99.
-
(1994)
Journal of Econometrics
, vol.60
, pp. 65-99
-
-
Goffe, W.L.1
Ferrier, G.D.2
Rogers, J.3
-
18
-
-
0000710590
-
A preliminary study of optimal variable weighting in k-means clustering
-
Green, P.E., Carmone, F.J., & Kim, J. (1990). A preliminary study of optimal variable weighting in k-means clustering. Journal of Classification, 7, 271-285.
-
(1990)
Journal of Classification
, vol.7
, pp. 271-285
-
-
Green, P.E.1
Carmone, F.J.2
Kim, J.3
-
20
-
-
0002975747
-
Toward a practical method which helps uncover the structure of a set of observations by finding the line transformation which optimizes a new index of condensation
-
Academic Press New York
-
Kruskal, J.B. (1969). Toward a practical method which helps uncover the structure of a set of observations by finding the line transformation which optimizes a new index of condensation. In R.C. Milton, & J.A. Nelder (Eds.), Statistical Computation (pp. 427-440). New York: Academic Press.
-
(1969)
Statistical Computation
, pp. 427-440
-
-
Kruskal, J.B.1
Milton, R.C.2
Nelder, J.A.3
-
21
-
-
4344602134
-
Simultaneous feature selection and clustering using mixture models
-
Law, M.H.C., Figueiredo, M.A.T., & Jain, A.K. (2004). Simultaneous feature selection and clustering using mixture models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26, 1154-1166.
-
(2004)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.26
, pp. 1154-1166
-
-
Law, M.H.C.1
Figueiredo, M.A.T.2
Jain, A.K.3
-
27
-
-
33847457966
-
An examination of the effect of six types of error perturbation on fifteen clustering algorithms
-
Milligan, G.W. (1980). An examination of the effect of six types of error perturbation on fifteen clustering algorithms. Psychometrika, 45, 325-342.
-
(1980)
Psychometrika
, vol.45
, pp. 325-342
-
-
Milligan, G.W.1
-
28
-
-
0000272920
-
An algorithm for generating artificial test clusters
-
Milligan, G.W. (1985). An algorithm for generating artificial test clusters. Psychometrika, 50, 23-127.
-
(1985)
Psychometrika
, vol.50
, pp. 23-127
-
-
Milligan, G.W.1
-
29
-
-
0002048998
-
A validation study of a variable weighting algorithm for cluster analysis
-
Milligan, G.W. (1989). A validation study of a variable weighting algorithm for cluster analysis. Journal of Classification, 6, 53-71.
-
(1989)
Journal of Classification
, vol.6
, pp. 53-71
-
-
Milligan, G.W.1
-
32
-
-
0142136684
-
Local optima in K-means clustering: What you don't know may hurt you
-
Steinley, D. (2003). Local optima in K-means clustering: What you don't know may hurt you. Psychological Methods, 8, 294-304.
-
(2003)
Psychological Methods
, vol.8
, pp. 294-304
-
-
Steinley, D.1
-
33
-
-
33744726077
-
Standardizing variables in K-means clustering
-
Springer New York
-
Steinley, D. (2004a). Standardizing variables in K-means clustering. In D. Banks, L. House, F.R. McMorris, P. Arabie, & W. Gaul (Eds.), Classification, clustering, and data mining applications (pp. 53-60). New York: Springer.
-
(2004)
Classification, Clustering, and Data Mining Applications
, pp. 53-60
-
-
Steinley, D.1
Banks, D.2
House, L.3
Arabie, P.4
Gaul, W.5
-
34
-
-
4344611435
-
Properties of the Hubert-Arabie adjusted Rand index
-
Steinley, D. (2004b). Properties of the Hubert-Arabie adjusted Rand index. Psychological Methods, 9, 386-396.
-
(2004)
Psychological Methods
, vol.9
, pp. 386-396
-
-
Steinley, D.1
-
36
-
-
33745700805
-
Profiling local optima in K-means clustering: Developing a diagnostic technique
-
Steinley, D. (2006b). Profiling local optima in K-means clustering: Developing a diagnostic technique. Psychological Methods, 11, 178-192.
-
(2006)
Psychological Methods
, vol.11
, pp. 178-192
-
-
Steinley, D.1
-
37
-
-
41449089333
-
A new variable weighting and selection procedure for K-means cluster analysis
-
in press
-
Steinley, D., & Brusco, M.J. (2007, in press). A new variable weighting and selection procedure for K-means cluster analysis. Psychometrika.
-
(2007)
Psychometrika
-
-
Steinley, D.1
Brusco, M.J.2
-
38
-
-
33744720321
-
OCLUS: An analytic method for generating clusters with known overlap
-
Steinley, D., & 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
-
39
-
-
34547412862
-
Examining factor score distributions to determine the nature of latent spaces
-
Steinley, D., & McDonald, R.P. (2007). Examining factor score distributions to determine the nature of latent spaces. Multivariate Behavioral Research, 42, 133-156.
-
(2007)
Multivariate Behavioral Research
, vol.42
, pp. 133-156
-
-
Steinley, D.1
-
40
-
-
0035532141
-
Estimating the number of clusters in a data set via the gap statistic
-
Tibshirani, R., Walther, G., & Hastie, T. (2001). Estimating the number of clusters in a data set via the gap statistic. Journal of the Royal Statistical Society, Series B, 63, 411-423.
-
(2001)
Journal of the Royal Statistical Society, Series B
, vol.63
, pp. 411-423
-
-
Tibshirani, R.1
Walther, G.2
Hastie, T.3
-
41
-
-
0001543785
-
Clustering N objects into K groups under an optimal scaling of variables
-
van Buuren, S.V., & Heiser, W.J. (1989). Clustering N objects into K groups under an optimal scaling of variables. Psychometrika, 54, 699-706.
-
(1989)
Psychometrika
, vol.54
, pp. 699-706
-
-
Van Buuren, S.V.1
Heiser, W.J.2
|