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Clustering High--Dimensional Data

First International Workshop, CHDD 2012, Naples, Italy, May 15, 2012, Revised Selected Papers

Language EnglishEnglish
Book Paperback
Book Clustering High--Dimensional Data Francesco Masulli
Libristo code: 09529508
Publishers Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, October 2015
This book constitutes the proceedings of the International Workshop on Clustering High-Dimensional D... Full description
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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.§

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About the book

Full name Clustering High--Dimensional Data
Author Francesco Masulli, Alfredo Petrosino, Stefano Rovetta
Language English
Binding Book - Paperback
Date of issue 2015
Number of pages 149
EAN 9783662485767
ISBN 3662485761
Libristo code 09529508
Publishers Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Weight 2526
Dimensions 155 x 235 x 237

Categories

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
Computing & Information Technology > Digital lifestyle > Internet guides & online services > Internet searching
Computing & Information Technology > Computer science > Artificial intelligence > Expert systems / knowledge-based systems
Computing & Information Technology > Computer programming / software engineering > Algorithms & data structures
Computing & Information Technology > Computer programming / software engineering > Database programming
Computing & Information Technology > Databases > Data warehousing
Computing & Information Technology > Databases > Data mining
Computing & Information Technology > Databases > Information retrieval
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