Classification, Clustering and Data Analysis
Contributors: Krzystof Jajuga (Editor); Andrzej Sokolowski (Editor); Hans-Hermann Bock (Editor)
Edition: 1 edition
Publisher: Springer
Published: August 15, 2002
Language: eng
Format: Paperback
Number of pages: 492
ISBN-13: 9783540436911
Subjects: Applied mathematics; Data capture & analysis; Databases & data structures; Probability & statistics; Statistics; Multivariate Analysis; Pattern Recognition; Mathematics; Science/Mathematics; Probability & Statistics - General; Computer Science; Business & Economics-Statistics; Computers-Computer Science; Mathematics / Statistics; Congresses; Data Processing - Optical Data Processing; Cluster analysis; Mathematical statistics; Pattern perception
First sentence: Abstract. The paper contains some general remarks on the high art of data analysis, some philosophical thoughts about classification, a partial review of outliers and robustness from the point of view of applications, including a discussion of the problem of model choice, and a review of several aspects of robust estimation of covariance matrices, including the pragmatic choice of a weight function based on empirical and theoretical evidence.