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0001Data analysis to partition complex regression surface into simpler
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Salman, A.[Ayed],
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Yousef, W.A.[Waleed A.],
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Baraldi, A.,
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Fawcett, T.[Tom],
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0609Evaluation measures; Hit-rate; Recall; Receiver operating characteristic
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0703Forest classification; Conventional classifiers; Expert System;
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Earlier:
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0609Model selection; Cross-validation; Kernel methods
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Pham, D.S.[Duc-Son],
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0806
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Břcher, P.K.,
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WWW Version.
0709The relationship between classification accuracy and within class
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0801Pattern classification; Local density estimation; Confidence intervals;
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Volkovich, Z.,
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0804Affine look-up table; Classification; Pre-classification;
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Pugliese, L.[Luca],
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0509compare 2 clustering methods for LANDSAT classification.
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Comparing Classification Metrics for Labeling Segmented Remote Sensing
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CVPR08(1-8).
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Zass, R.[Ron],
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A Unifying Approach to Hard and Probabilistic Clustering,
ICCV05(I: 294-301).
IEEE DOI Reference
0510Analysis of clustering approaches.
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Kolsch, T.,
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IEEE DOI Reference
0409Decompose and analyze nearest neighbor search and direct voting
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0409Where are which classifiers competent.
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Johnson, A.Y.[Amos Y.],
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AVBPA03(821-829).
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Lucas, S.M.,
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0211
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Duin, R.P.W.,
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Tax, D.M.J.,
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ICPR04(I: 140-143).
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0409
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de Ridder, D.,
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The economics of classification: error vs. complexity,
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0211
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Varma, M.,
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Classifying materials from images: to cluster or not to cluster?,
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Yang, M.H.,
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Huijsmans, N.P.,
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Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Error Estimation, Classification Accuracy .