Clustering High--Dimensional Data : First International Workshop, CHDD 2012, Naples, Italy, May 15, 2012, Revised Selected Papers / edited by Francesco Masulli, Alfredo Petrosino, Stefano Rovetta.

Contributor(s):

Material type: Text

TextLanguage: İngilizce Series: Information Systems and Applications, incl. Internet/Web, and HCI ; 7627Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015Description: 1 online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783662485774

Subject(s):

LOC classification:

QA76.9.D3

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Springer eBooks Online access link to the resource

Summary: 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. .

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Holdings
Item type	Current library	Home library	Collection	Call number	Status	Notes	Date due	Barcode
E-Book	Merkez Kütüphane	Merkez Kütüphane	E-Kitap Koleksiyonu	QA76.9.D3EBK (Browse shelf(Opens below))	Geçerli değil-e-Kitap / Not applicable-e-Book			EBK00184

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. .

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