Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7627)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Included in the following conference series:
Conference proceedings info: CHDD 2012.
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Table of contents (9 papers)
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Front Matter
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Back Matter
Keywords
- big data clustering
- dimensionality reduction
- high dimensional data analysis
- machine learning
- time series analysis
- anomaly detection
- cluster analysis
- clustering
- data mining
- efficiency
- exploratory data analysis
- inductive inference
- manifold learning
- modeling hierarchies
- rank-order statistics
- rough fuzzy sets
- self-organizing maps
- subspace clustering
- unsupervised feature selection
- unsupervised models of learning
About this book
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.Â
Editors and Affiliations
Bibliographic Information
Book Title: Clustering High--Dimensional Data
Book Subtitle: First International Workshop, CHDD 2012, Naples, Italy, May 15, 2012, Revised Selected Papers
Editors: Francesco Masulli, Alfredo Petrosino, Stefano Rovetta
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-662-48577-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2015
Softcover ISBN: 978-3-662-48576-7Published: 25 November 2015
eBook ISBN: 978-3-662-48577-4Published: 24 November 2015
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: IX, 149
Number of Illustrations: 41 illustrations in colour
Topics: Database Management, Information Systems Applications (incl. Internet), Artificial Intelligence, Information Storage and Retrieval, Data Mining and Knowledge Discovery, Algorithm Analysis and Problem Complexity