-
2
-
-
10844257374
-
Clustering binary data in the presence of masking variables
-
Brusco, M. J. (2004). Clustering binary data in the presence of masking variables. Psychological Methods, 9(4), 510-523.
-
(2004)
Psychological Methods
, vol.9
, Issue.4
, pp. 510-523
-
-
Brusco, M.J.1
-
3
-
-
0038729375
-
Multicriterion clusterwise regression for joint segmentation settings: An application to customer value
-
Brusco, M. J., Cradit, J. D., & Tashchian, A. (2003). Multicriterion clusterwise regression for joint segmentation settings: An application to customer value. Journal of Marketing Research, 40, 225-234.
-
(2003)
Journal of Marketing Research
, vol.40
, pp. 225-234
-
-
Brusco, M.J.1
Cradit, J.D.2
Tashchian, A.3
-
5
-
-
0036011451
-
An examination of indexes for determining the number of clusters in binary data sets
-
Dimitriadou, E., Dolnicar, S., & Weingessel, 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
Weingessel, A.3
-
6
-
-
75849117598
-
Methodological reasons for the theory/practice divide in market segmentation
-
Dolnicar, S., & Lazarevski, K. (2009). Methodological reasons for the theory/practice divide in market segmentation. Journal of Marketing Management, 25(3-4), 357-374.
-
(2009)
Journal of Marketing Management
, vol.25
, Issue.3-4
, pp. 357-374
-
-
Dolnicar, S.1
Lazarevski, K.2
-
7
-
-
0012676177
-
Behavioral market segmentation using the bagged clustering approach based on binary guest survey data: Exploring and visualizing unobserved heterogeneity
-
Dolnicar, S., & Leisch, F. (2000). Behavioral market segmentation using the bagged clustering approach based on binary guest survey data: Exploring and visualizing unobserved heterogeneity. Tourism Analysis, 5(2-4), 163-170.
-
(2000)
Tourism Analysis
, vol.5
, Issue.2-4
, pp. 163-170
-
-
Dolnicar, S.1
Leisch, F.2
-
8
-
-
0018655613
-
Validity studies in clustering methodologies
-
Dubes, R., & Jain, A. K. (1979). Validity studies in clustering methodologies. Pattern Recognition, 11, 235-254.
-
(1979)
Pattern Recognition
, vol.11
, pp. 235-254
-
-
Dubes, R.1
Jain, A.K.2
-
9
-
-
0038391443
-
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
-
11
-
-
0004129183
-
-
Englewood Cliffs: Prentice Hall
-
Evans, J. R., & Berman, B. (1997). Marketing. Englewood Cliffs: Prentice Hall.
-
(1997)
Marketing
-
-
Evans, J.R.1
Berman, B.2
-
12
-
-
0032269108
-
How many clusters? Which clustering method? Answers via model-based cluster analysis
-
Fraley, C., & Raftery, A. E. (1998). How many clusters? Which clustering method? Answers via model-based cluster analysis. The Computer Journal, 41, 578-588.
-
(1998)
The Computer Journal
, vol.41
, pp. 578-588
-
-
Fraley, C.1
Raftery, A.E.2
-
15
-
-
26644464819
-
The design and analysis of benchmark experiments
-
Hothorn, T., Leisch, F., Zeileis, A., & Hornik, K. (2005). The design and analysis of benchmark experiments. Journal of Computational and Graphical Statistics, 14(3), 675-699.
-
(2005)
Journal of Computational and Graphical Statistics
, vol.14
, Issue.3
, pp. 675-699
-
-
Hothorn, T.1
Leisch, F.2
Zeileis, A.3
Hornik, K.4
-
20
-
-
11244333649
-
FlexMix: A general framework for finite mixture models and latent class regression in R
-
Leisch, F. (2004). FlexMix: A general framework for finite mixture models and latent class regression in R. Journal of Statistical Software, 11(8), 1-18.
-
(2004)
Journal of Statistical Software
, vol.11
, Issue.8
, pp. 1-18
-
-
Leisch, F.1
-
21
-
-
33750289836
-
A toolbox for k-centroids cluster analysis
-
Leisch, F. (2006). A toolbox for k-centroids cluster analysis. Computational Statistics and Data Analysis, 51(2), 526-544.
-
(2006)
Computational Statistics and Data Analysis
, vol.51
, Issue.2
, pp. 526-544
-
-
Leisch, F.1
-
22
-
-
0028204732
-
Topology representing networks
-
Martinetz, T., & Schulten, K. (1994). Topology representing networks. Neural Networks, 7(3), 507-522.
-
(1994)
Neural Networks
, vol.7
, Issue.3
, pp. 507-522
-
-
Martinetz, T.1
Schulten, K.2
-
24
-
-
34250115918
-
An examination of procedures for determining the number of clusters in a data set
-
Milligan, G. W., & Cooper, M. C. (1985). An examination of procedures for determining the number of clusters in a data set. Psychometrika, 50(2), 159-179.
-
(1985)
Psychometrika
, vol.50
, Issue.2
, pp. 159-179
-
-
Milligan, G.W.1
Cooper, M.C.2
-
27
-
-
5344244656
-
-
R Development Core Team, Vienna, Austria: R Foundation for Statistical Computing. ISBN 3-900051-07-0
-
R Development Core Team (2008). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. ISBN 3-900051-07-0.
-
(2008)
R: A language and environment for statistical computing
-
-
-
30
-
-
0041965980
-
Cluster ensembles-a knowldege reuse framework for combining multiple partitions
-
Strehl, A., & Gosh, J. (2002). Cluster ensembles-a knowldege reuse framework for combining multiple partitions. Journal of Machine Learning Research, 3, 583-617.
-
(2002)
Journal of Machine Learning Research
, vol.3
, pp. 583-617
-
-
Strehl, A.1
Gosh, J.2
-
31
-
-
0010063566
-
Who belongs in the family?
-
Thorndike, R. L. (1953). Who belongs in the family? Psychometrika, 18, 267-276.
-
(1953)
Psychometrika
, vol.18
, pp. 267-276
-
-
Thorndike, R.L.1
-
32
-
-
26644472430
-
Cluster validation by prediction strength
-
Tibshirani, R., & Walther, G. (2005). Cluster validation by prediction strength. Journal of Computational and Graphical Statistics, 14(3), 511-528.
-
(2005)
Journal of Computational and Graphical Statistics
, vol.14
, Issue.3
, pp. 511-528
-
-
Tibshirani, R.1
Walther, G.2
|