Clustering Algorithms for Biological Data

Name: Clustering Algorithms for Biological Data
Brand: LAP Lambert Academic Publishing
SKU: 9783659454745
Price: 20724 HUF
Availability: InStock

Szerző: Damodar Reddy Edla, Prasanta K. Jana

Nyelv:

Kötés: Puha kötésű

Kiadó: LAP Lambert Academic Publishing

Elérhetőség: Beszállítói készleten

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With the recent advances of data generation and acquisition systems and the success of several proje...

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Szerző

Damodar Reddy Edla, Prasanta K. Jana

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2013

oldal

148

EAN

9783659454745

Enbook ID

02201629

Kiadó

LAP Lambert Academic Publishing

Súly

238

Méretek

150 x 9 x 9

Teljes leírás

With the recent advances of data generation and acquisition systems and the success of several projects such as Human Genome, a large number of databases, especially in biological field are now available worldwide. The growing rate of such databases is also exponential. There is a need to explore and analyze such massive data to infer some inherent information. Clustering has been recognized as one of the widely used data mining techniques which is essential for data analysis to reveal natural structures and to identify interesting patterns in the underlying data. In the last decade, significant amount of research work has been carried out on cluster analysis and a large number of algorithms have been developed, particularly for biological data. Recently, much attention has been paid to develop various clustering algorithms based on neighborhood graphs such as minimum spanning tree (MST), Voronoi diagram and kd-trees. In this book, we mainly report on the hierarchical, partitional, density-based and graph-based clustering algorithms which are developed using such neighborhood graphs.

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Clustering Algorithms for Biological Data

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