Clustering High--Dimensional Data
First International Workshop, CHDD 2012, Naples, Italy, May 15, 2012, Revised Selected Papers
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Beschreibung
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.
Includes supplementary material: sn.pub/extras
Autor*in
Francesco Masulli
Themen in »Clustering High--Dimensional Data«
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