Clustering High--Dimensional Data First International Workshop, CHDD 2012, Naples, Italy, May 15, 2012, Revised Selected Papers /
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.
- 1st ed. 2015.
- IX, 149 p. 41 illus. in color. online resource.
- Information Systems and Applications, incl. Internet/Web, and HCI, 7627 2946-1642 ; .
- Information Systems and Applications, incl. Internet/Web, and HCI, 7627 .
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. .
9783662485774
10.1007/978-3-662-48577-4 doi
Database management.
Application software.
Artificial intelligence.
Information storage and retrieval systems.
Data mining.
Algorithms.
Database Management.
Computer and Information Systems Applications.
Artificial Intelligence.
Information Storage and Retrieval.
Data Mining and Knowledge Discovery.
Algorithms.
QA76.9.D3
005.74
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. .
9783662485774
10.1007/978-3-662-48577-4 doi
Database management.
Application software.
Artificial intelligence.
Information storage and retrieval systems.
Data mining.
Algorithms.
Database Management.
Computer and Information Systems Applications.
Artificial Intelligence.
Information Storage and Retrieval.
Data Mining and Knowledge Discovery.
Algorithms.
QA76.9.D3
005.74