Clustering High--Dimensional Data [electronic resource] : First International Workshop, CHDD 2012, Naples, Italy, May 15, 2012, Revised Selected Papers / edited by Francesco Masulli, Alfredo Petrosino, Stefano Rovetta.
Material type:
TextSeries: Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015Edition: 1st ed. 2015Description: IX, 149 p. 41 illus. in color. online resourceContent type: - text
- computer
- online resource
- 9783662485774
- Database Management
- Computer and Information Systems Applications
- Artificial Intelligence
- Information Storage and Retrieval
- Data Mining and Knowledge Discovery
- Algorithms
- Database management
- Application software
- Artificial intelligence
- Information storage and retrieval systems
- Data mining
- Algorithms
- 005.74 23
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. .
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