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ORCIDClassification, Pattern Recognition and Reduction of Dimensionality, 1982
- Paruchuri R. Krishnaiah, Laveen N. Kanal:
Classification, Pattern Recognition and Reduction of Dimensionality. Handbook of Statistics 2, North-Holland 1982, ISBN 978-0-444-86217-4 - Paruchuri R. Krishnaiah, Laveen N. Kanal:
Preface. v-ix - R. H. Shumway:
1 Discriminant analysis for time series. 1-46 - Somesh Das Gupta:
2 Optimum rules for classification into two multivariate normal populations with the same covariance matrix. 47-60 - Minoru Siotani:
3 Large sample approximations and asymptotic expansions of classification statistics. 61-100 - Seymour Geisser:
4 Bayesian discrimination. 101-120 - Jack C. Lee:
5 Classification of growth curves. 121-137 - James D. Broffitt:
6 Nonparametric classification. 139-168 - J. A. Anderson:
7 Logistic discrimination. 169-191 - Luc Devroye, Terry J. Wagner:
8 Nearest neighbor methods in discrimination. 193-197 - Geoffrey J. McLachlan:
9 The classification and mixture maximum likelihood approaches to cluster analysis. 199-208 - John M. Chambers, Beat Kleiner:
10 Graphical techniques for multivariate data and for clustering. 209-244 - Roger K. Blashfield, Mark S. Aldenderfer, Leslie C. Morey
:
11 Cluster analysis software. 245-266 - F. James Rohlf:
12 Single-link clustering algorithms. 267-284 - Jan de Leeuw, Willem J. Heiser:
13 Theory of multidimensional scaling. 285-316 - Myron Wish, J. Douglas Carroll:
14 Multidimensional scaling and its applications. 317-345 - Keinosuke Fukunaga:
15 Intrinsic dimensionality extraction. 347-360 - Laveen N. Kanal, Barbara A. Lambird, David Lavine:
16 Structural methods in image analysis and recognition. 361-382 - Narendra Ahuja, Azriel Rosenfeld:
17 Image models. 383-397 - Robert M. Haralick:
18 Image texture survey. 399-415 - King-Sun Fu:
19 Applications of stochastic languages. 417-449 - J. C. Simon, E. Backer, J. Sallentin:
20 A unifying viewpoint on pattern recognition. 451-477 - G. S. Lbov:
21 Logical functions in the problems of empirical prediction. 479-491 - Nikolay G. Zagoruiko, V. N. Yolkina:
22 Inference and data tables with missing values. 493-500 - Jan H. van Bemmel:
23 Recognition of electrocardiographic patterns. 501-526 - George C. Stockman:
24 Waveform parsing systems. 527-548 - Frederick Jelinek, Robert L. Mercer, Lalit R. Bahl:
25 Continuous speech recognition: Statistical methods. 549-573 - Alan A. Grometstein, William H. Schoendorf:
26 Applications of pattern recognition in radar. 575-593 - Edzard S. Gelsema, G. H. Landeweerd:
27 White blood cell recognition. 595-607 - Philip H. Swain:
28 Pattern recognition techniques for remote sensing applications. 609-620 - George Nagy:
29 Optical character recognition - Theory and practice. 621-649 - Y. T. Chien, T. J. Killeen:
30 Computer and statistical considerations for oil spill identification. 651-671 - Bruce R. Kowalski, Svante Wold:
31 Pattern recognition in chemistry. 673-697 - Tsuguchika Kaminuma, S. Tomita, Satosi Watanabe:
32 Covariance matrix representation and object-predicate symmetry. 699-719 - Richard A. Reyment:
33 Multivariate morphometrics. 721-745 - Peter M. Bentler, D. G. Weeks:
34 Multivariate analysis with latent variables. 747-771 - Moshe Ben-Bassat:
35 Use of distance measures, information measures and error bounds in feature evaluation. 773-791 - Jan M. Van Campenhout:
36 Topics in measurement selection. 793-803 - Paruchuri R. Krishnaiah:
37 Selection of variables under univariate regression models. 805-820 - James L. Schmidhammer:
38 On the selection of variables under regression models using krishnaiah's finite intersection tests. 821-833 - Anil K. Jain, B. Chandrasekaran:
39 Dimensionality and sample size considerations in pattern recognition practice. 835-855 - Willem Schaafsma:
40 Selecting variables in discriminant analysis for improving upon classical procedures. 857-881 - Paruchuri R. Krishnaiah:
41 Selection of variables in discriminant analysis. 883-892
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