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Clustering High--Dimensional Data : First International Workshop, CHDD 2012, Naples, Italy, May 15, 2012, Revised Selected Papers / edited by Francesco Masulli, Alfredo Petrosino, Stefano Rovetta.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 7627
- Information Systems and Applications, incl. Internet/Web, and HCI ; 7627
- Language:
- English
- Subjects (All):
- 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.
- Local Subjects:
- Database Management.
- Computer and Information Systems Applications.
- Artificial Intelligence.
- Information Storage and Retrieval.
- Data Mining and Knowledge Discovery.
- Algorithms.
- Physical Description:
- 1 online resource (IX, 149 pages) : 41 illustrations in color.
- Edition:
- 1st ed. 2015.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
- System Details:
- text file PDF
- Summary:
- 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. .
- Other Format:
- Printed edition:
- ISBN:
- 978-3-662-48577-4
- 9783662485774
- Access Restriction:
- Restricted for use by site license.
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