| Title | : | Clustering High--Dimensional Data |
|---|---|---|
| Author | : | Francesco Masulli, Alfredo Petrosino & Stefano Rovetta |
| Release | : | 2015-11-24 |
| Kind | : | ebook |
| Genre | : | Databases, Books, Computers & Internet, System Administration, Programming, Software, Science & Nature, Mathematics |
| Size | : | 2772346 |
| 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. |
