Discriminant Analysis and Statistical Pattern Recognition
Discriminant Analysis and Statistical Pattern Recognition
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DOI：
10.2307/2982750
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发表时间：
1992-03
期刊：
影响因子：
--
通讯作者：
G. McLachlan
中科院分区：
文献类型：
--
作者：
G. McLachlan
提供了一个主题领域的系统性说明，集中在该领域的最新进展。虽然重点是在实际考虑，理论和实践问题进行了探讨。所涵盖的进展包括：正则化判别分析和基于样本的判别规则的性能的基于引导程序的评估，以及由统计图像分析中的问题引起的判别分析的扩展。包括1,200多个参考书目。
Provides a systematic account of the subject area, concentrating on the most recent advances in the field. While the focus is on practical considerations, both theoretical and practical issues are explored. Among the advances covered are: regularized discriminant analysis and bootstrap-based assessment of the performance of a sample-based discriminant rule and extensions of discriminant analysis motivated by problems in statistical image analysis. Includes over 1,200 references in the bibliography.