TY  - GEN
N2  - 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.
DO  - 10.1007/978-3-662-48577-4
DO  - doi
AB  - 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.
T1  - Clustering high-dimensional data :First International Workshop, CHDD 2012, Naples, Italy, May 15, 2012, Revised Selected Papers /
AU  - Masulli, F.
AU  - Petrosino, Alfredo,
AU  - Rovetta, Stefano,
VL  - 7627
CN  - QA76.9.D3
N1  - Includes author index.
ID  - 771046
KW  - Databases
KW  - Computer science.
KW  - Algorithms.
KW  - Database management.
KW  - Data mining.
KW  - Information storage and retrieval.
KW  - Artificial intelligence.
SN  - 9783662485774
SN  - 366248577X
TI  - Clustering high-dimensional data :First International Workshop, CHDD 2012, Naples, Italy, May 15, 2012, Revised Selected Papers /
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-662-48577-4
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-662-48577-4
ER  -