Kharin, Y., 1996. Robustness in Statistical Pattern Recognition. Kluwer, Dordrecht. Home/Search Document Not in Database Summary Related Articles Check |
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Bleeding Predisposition Assessments in Tonsillectomy/Adenoidectomy .. - Pizzi (2001) (Correct)
....diagnosis [25,26] and fuzzy integration. 1.2.1. Discrimination and verication Discrimination is the process of determining a decision rule that partitions the individuals space into k regions, # i such that if an individual belongs to the class, # j , it will also lie in the region # j [11]. For example, Fig. 1 is an example of a two dimensional two class problem with the decision rule, x 2 0, that divides the space into two regions, # 1 and # 2 .Ifx 2 x 1 # 0 then the individual lies in # 1 and is classied as coming from # 1 , otherwise it lies in region # 2 and is classied ....
Kharin Y. Robustness in Statistical Pattern Recognition. Boston: Kluwer, 1996.
A Robust Method for Clustering Analysis - Gallegos (Correct)
....[4] Cap.4, x16(a) This method looks for a partition of the set of observations 2 whose pooled within groups sums of squares and products (SSP) matrix has least determinant. To our knowledge not much work has been done on the topic of detection of outliers for mixture models. It seems that Kahr [10], and Kahrin and Zhuk [11] 12] and [13] are the pioneers on this research area. Since the method we propose here differs radically from the ones proposed by these authors, we do not describe their work in more detail here, and we refer the interested reader to the literature indicated above. ....
Kharin, Yu.S. 1996. Robustness in Statistical Pattern Recognition. Kluwer Academic Publishers, Dordrecht/Boston/London.
Robust Cluster Analysis Via Mixtures Of Multivariate.. - McLachlan, Peel (1998) (3 citations) (Correct)
.... and Woodruff (1997) The related problem of making clustering algorithms more robust has received much attention recently as, for example, in McLachlan and Basford (1988, Chapter 3) De Veaux and Kreiger (1990) Campbell (1994) Dav e and Krishnapuram (1996) Frigui and Krishnapuram (1996) Kharin (1996), and Rousseeuw, Kaufman, and Trauwaert (1996) and Zhuang et al. 1996) among others. In the past, there have been many attempts at modifying existing methods of cluster analysis to provide robust clustering procedures. Some of these have been of a rather ad hoc nature. The t mixture model ....
Kharin, Y. (1996). Robustness in Statistical Pattern Recognition. Dordrecht: Kluwer.
Chapter 6: Acoustic Backing-off as an - Implementation Of Missing (Correct)
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Kharin, Y., 1996. Robustness in Statistical Pattern Recognition. Kluwer, Dordrecht.
A Robust Method for Clustering Analysis - Gallegos (Correct)
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Kharin, Yu.S. 1996. Robustness in Statistical Pattern Recognition. Kluwer Academic Publishers, Dordrecht/Boston/London.
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