Robust cluster analysis and variable selection (Record no. 6590)

MARC details
000 -LEADER
fixed length control field 02110nam a2200277Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260116164551.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220909b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781439857960
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number SL01599485
037 ## - SOURCE OF ACQUISITION
Terms of availability Textbook
040 ## - CATALOGING SOURCE
Original cataloging agency CSL
Language of cataloging eng
Transcribing agency CSL
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
084 ## - COLON CLASSIFICATION NUMBER
Classification number B964 Q5 TB
Assigning agency CSL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Ritter, Gunter
9 (RLIN) 898407
245 #0 - TITLE STATEMENT
Title Robust cluster analysis and variable selection
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Boca,
Name of publisher, distributor, etc. Raton CRC:
Date of publication, distribution, etc. 2015.
300 ## - PHYSICAL DESCRIPTION
Extent xx, 371p.
Other physical details : ill.
500 ## - GENERAL NOTE
General note Appendix A-G 241-338p.; References 339-364p.; Index 365-371p.
520 ## - SUMMARY, ETC.
Summary, etc. Clustering remains a vibrant area of research in statistics. Although there are many books on this topic, there are relatively few that are well founded in the theoretical aspects. In Robust Cluster Analysis and Variable Selection, Gunter Ritter presents an overview of the theory and applications of probabilistic clustering and variable selection, synthesizing the key research results of the last 50 years.<br/><br/>The author focuses on the robust clustering methods he found to be the most useful on simulated data and real-time applications. The book provides clear guidance for the varying needs of both applications, describing scenarios in which accuracy and speed are the primary goals.<br/><br/>Robust Cluster Analysis and Variable Selection includes all of the important theoretical details, and covers the key probabilistic models, robustness issues, optimization algorithms, validation techniques, and variable selection methods. The book illustrates the different methods with simulated data and applies them to real-world data sets that can be easily downloaded from the web. This provides you with guidance in how to use clustering methods as well as applicable procedures and algorithms without having to understand their probabilistic fundamentals.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Robustification
9 (RLIN) 898408
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Topology
9 (RLIN) 898409
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Algorithms
9 (RLIN) 898410
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Classification part B964 Q5 TB
Koha item type Textbook
Source of classification or shelving scheme Colon Classification (CC)
Suppress in OPAC No
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Colon Classification (CC)     Central Science Library Central Science Library 2022-09-12 4175, 28/10/2015, Educational Book Agency (India)   B964 Q5 TB SL1599485 2022-09-12 2022-09-12 Textbook