Clustering High--Dimensional Data  First International Workshop, CHDD 2012, Naples, Italy, May 15, 2012, Revised Selected Papers /  [electronic resource] : 
edited by Francesco Masulli, Alfredo Petrosino, Stefano Rovetta. 
 - IX, 149 p. 41 illus. in color.  online resource. 
 - Lecture Notes in Computer Science,  7627  0302-9743 ; .
 - Lecture Notes in Computer Science,  7627 .
<br/><br/> 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. . 
<br/><br/><label>ISBN: </label>9783662485774 
<br/><br/><label>Standard No.: </label>10.1007/978-3-662-48577-4  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer science.<br/>Algorithms.<br/>Database management.<br/>Data mining.<br/>Information storage and retrieval.<br/>Artificial intelligence.<br/>Computer Science.<br/>Database Management.<br/>Information Systems Applications (incl. Internet).<br/>Artificial Intelligence (incl. Robotics).<br/>Information Storage and Retrieval.<br/>Data Mining and Knowledge Discovery.<br/>Algorithm Analysis and Problem Complexity.
<br/><br/><label>LC Class. No.: </label>QA76.9.D3 
<br/><br/><label>Dewey Class. No.: </label>005.74