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.
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.

Clustering High--Dimensional Data: First International Workshop, CHDD 2012, Naples, Italy, May 15, 2012, Revised Selected Papers
149
Clustering High--Dimensional Data: First International Workshop, CHDD 2012, Naples, Italy, May 15, 2012, Revised Selected Papers
149Paperback(1st ed. 2015)
Product Details
ISBN-13: | 9783662485767 |
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Publisher: | Springer Berlin Heidelberg |
Publication date: | 06/24/2017 |
Series: | Lecture Notes in Computer Science , #7627 |
Edition description: | 1st ed. 2015 |
Pages: | 149 |
Product dimensions: | 6.10(w) x 9.25(h) x (d) |