Clustering High--Dimensional Data

First International Workshop, CHDD 2012, Naples, Italy, May 15, 2012, Revised Selected Papers

Francesco Masulli, Alfredo Petrosino, Stefano Rovetta (Herausgeber)

Buch | Softcover

IX, 149 Seiten

2015 | 1st ed. 2015
Springer Berlin (Verlag)
978-3-662-48576-7 (ISBN)

Infos

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.

Produkt-Details

• Erscheinungsdatum: 02.11.2015
• Reihe/Serie: Information Systems and Applications, incl. Internet/Web, and HCI
• Reihe/Serie: Lecture Notes in Computer Science
• Zusatzinfo: IX, 149 p. 41 illus. in color.
• Verlagsort: Berlin
• Sprache: englisch
• Maße: 155 x 235 mm
• Themenwelt: Mathematik / Informatik ► Informatik ► Datenbanken
• Schlagworte: Algorithm analysis and problem complexity • Anomaly Detection • artificial intelligence (incl. robotics) • Big data clustering • cluster analysis • Clustering • Computer Science • Database Management • Data Mining • data mining and knowledge discovery • dimensionality reduction • Efficiency • Exploratory data analysis • high dimensional data analysis • Inductive Inference • Information storage and retrieval • information systems applications (incl. internet) • machine learning • manifold learning • modeling hierarchies • rank-order statistics • rough fuzzy sets • Self-Organizing Maps • subspace clustering • Time Series Analysis • unsupervised feature selection • unsupervised models of learning
• ISBN-10: 3-662-48576-1 / 3662485761
• ISBN-13: 978-3-662-48576-7 / 9783662485767
• Zustand: Neuware