Introduction to Clustering Large and High-Dimensional Data

Name: Introduction to Clustering Large and High-Dimensional Data
Brand: Cambridge University Press
SKU: 9780521617932
Price: 291.65 RON
Availability: InStock

Autor: Jacob Kogan

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Editura: Cambridge University Press

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291.65 lei

There is a growing need for a more automated system of partitioning data sets into groups, or cluste...

Informații despre carte

Autor

Jacob Kogan

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2006

Pagini

222

EAN

9780521617932

ISBN

0521617936

Enbook ID

02037613

Editura

Cambridge University Press

Greutate

308

Dimensiuni

154 x 228 x 16

Descriere completă

There is a growing need for a more automated system of partitioning data sets into groups, or clusters. For example, digital libraries and the World Wide Web continue to grow exponentially, the ability to find useful information increasingly depends on the indexing infrastructure or search engine. Clustering techniques can be used to discover natural groups in data sets and to identify abstract structures that might reside there, without having any background knowledge of the characteristics of the data. Clustering has been used in a variety of areas, including computer vision, VLSI design, data mining, bio-informatics (gene expression analysis), and information retrieval, to name just a few. This book focuses on a few of the most important clustering algorithms, providing a detailed account of these major models in an information retrieval context. The beginning chapters introduce the classic algorithms in detail, while the later chapters describe clustering through divergences and show recent research for more advanced audiences.

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Introduction to Clustering Large and High-Dimensional Data

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