Articles liés à Data Clustering: with Visualization of Proteomics Data

Data Clustering: with Visualization of Proteomics Data - Couverture souple

Kristensen, Terje; Jakobsen, Vemund; Bjørkum, Alvhild Alette

 
9783659318290: Data Clustering: with Visualization of Proteomics Data
Couverture souple
ISBN 10 : 3659318299 ISBN 13 : 9783659318290
Editeur : LAP LAMBERT Academic Publishing, 2014

Synopsis

A lot of scientific research has been focused to explore methods to analyze information in huge sets of data. Different types of algorithms and statistical techniques have been developed to reveal relationships that may exist in large multi-dimensional data sets. Once the data has been organized, it can be used in subsequent hypothesis or decision making. Organizing huge sets of data may only be done automatically by using an algorithmic approach. This is known as data clustering or cluster analysis. This book is about how to use machine learning methods to cluster the data. Such algorithms may be used in business intelligence, market research, pattern recognition, image analysis and biomedical research. In this book we show how we can use such algorithms combined with visualization techniques to cluster proteomics data. One often has to do analysis without a priori information available about the underlying nature of the data. Data clustering can in such cases be useful to uncover hidden relationships that may exist in the data before doing further analysis.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

A lot of scientific research has been focused to explore methods to analyze information in huge sets of data. Different types of algorithms and statistical techniques have been developed to reveal relationships that may exist in large multi-dimensional data sets. Once the data has been organized, it can be used in subsequent hypothesis or decision making. Organizing huge sets of data may only be done automatically by using an algorithmic approach. This is known as data clustering or cluster analysis. This book is about how to use machine learning methods to cluster the data. Such algorithms may be used in business intelligence, market research, pattern recognition, image analysis and biomedical research. In this book we show how we can use such algorithms combined with visualization techniques to cluster proteomics data. One often has to do analysis without a priori information available about the underlying nature of the data. Data clustering can in such cases be useful to uncover hidden relationships that may exist in the data before doing further analysis.

Biographie de l'auteur

Terje Kristensen is a professor of informatics at Bergen University College and CEO of Pattern soloutions, Norway. His interests are machine learning and datamining. Vemund Jakobsen is a software engineer at the company Dataloy Systems in Bergen.Alvhild Alette Bjørkum is an associate professor in bioengineering at Bergen University College.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2014
Langue
anglais
ISBN 10 
3659318299
ISBN 13 
9783659318290
Reliure
Broché
Nombre de pages
92
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
4950000000000
info@krega-onlinehandel.de

Birkenweg 31
Brakel
33034
Allemagne