Clustering High--Dimensional Data First International Workshop, CHDD 2012, Naples, Italy, May 15, 2012, Revised Selected Papers /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Masulli, Francesco (Επιμελητής έκδοσης), Petrosino, Alfredo (Επιμελητής έκδοσης), Rovetta, Stefano (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
• Έκδοση: 1st ed. 2015.
• Σειρά: Lecture Notes in Computer Science, 7627
• Θέματα: Computer science.; Algorithms.; Database management.; Data mining.; Information storage and retrieval.; Artificial intelligence.; Computer Science.; Database Management.; Information Systems Applications (incl. Internet).; Artificial Intelligence (incl. Robotics).; Information Storage and Retrieval.; Data Mining and Knowledge Discovery.; Algorithm Analysis and Problem Complexity.
• Φυσική περιγραφή: IX, 149 p. 41 illus. in color. online resource.
• ISBN: 9783662485774
• ISSN: 0302-9743 ;

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. .