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Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach
Information and Entropy in Cluster Analysis
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Author(s):
H. H. Bock
Publication date
(Print):
1994
Publisher:
Springer Netherlands
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High Entropy Alloys and Complex Concentrated Alloys
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A new look at the statistical model identification
H Akaike
,
Francisco Casacuberta
(1975)
IEEE Transactions on Automatic Control, 19(6), 716-723
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Estimating the Dimension of a Model
Gideon Schwarz
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An Information Measure for Classification
C. S. Wallace
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D. Boulton
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Publication date (Print):
1994
Pages
: 115-147
DOI:
10.1007/978-94-011-0800-3_4
SO-VID:
70af481b-ca72-4fe4-a57a-4c8268075e3e
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Book chapters
pp. 37
Some Aspects of Model-Selection Criteria
pp. 115
Information and Entropy in Cluster Analysis
pp. 149
Information-Based Validity Functionals for Mixture Analysis
pp. 171
Unsupervised Classification with Stochastic Complexity
pp. 233
High Dimensional Covariance Estimation: Avoiding the ‘Curse of Dimensionality’
pp. 255
Categorical Data Analysis by AIC
pp. 347
Roles of Fisher Type Information in Latent Trait Models
pp. 69
Mixture-Model Cluster Analysis Using Model Selection Criteria and a New Informational Measure of Complexity
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