Clustering High--Dimensional Data (Record no. 55691)

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fixed length control field 02746nam a22005895i 4500
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control field 978-3-662-48577-4
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421111843.0
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fixed length control field 151124s2015 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783662485774
-- 978-3-662-48577-4
082 04 - CLASSIFICATION NUMBER
Call Number 005.74
245 10 - TITLE STATEMENT
Title Clustering High--Dimensional Data
Sub Title First International Workshop, CHDD 2012, Naples, Italy, May 15, 2012, Revised Selected Papers /
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Number of Pages IX, 149 p. 41 illus. in color.
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Series statement Lecture Notes in Computer Science,
520 ## - SUMMARY, ETC.
Summary, etc This book constitutes the proceedings of the International Workshop on Clustering High-Dimensional Data, CHDD 2012, held in Naples, Italy, in May 2012. The 9 papers presented in this volume were carefully reviewed and selected from 15 submissions. They deal with the general subject and issues of high-dimensional data clustering; present examples of techniques used to find and investigate clusters in high dimensionality; and the most common approach to tackle dimensionality problems, namely, dimensionality reduction and its application in clustering. .
700 1# - AUTHOR 2
Author 2 Masulli, Francesco.
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Author 2 Petrosino, Alfredo.
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Author 2 Rovetta, Stefano.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-662-48577-4
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Koha item type eBooks
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-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2015.
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-- computer
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-- online resource
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-- Computer science.
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-- Algorithms.
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-- Database management.
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-- Data mining.
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-- Information storage and retrieval.
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-- Artificial intelligence.
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-- Computer Science.
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-- Database Management.
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-- Information Systems Applications (incl. Internet).
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-- Artificial Intelligence (incl. Robotics).
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-- Information Storage and Retrieval.
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-- Data Mining and Knowledge Discovery.
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-- Algorithm Analysis and Problem Complexity.
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