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Similarity-Based Clustering : Recent Developments and Biomedical Applications - Michael Biehl
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Michael Biehl:
Similarity-Based Clustering : Recent Developments and Biomedical Applications - Taschenbuch

2009, ISBN: 3642018041

ID: 9730371257

[EAN: 9783642018046], Neubuch, [SC: 0.0], [PU: Springer-Verlag Gmbh Jun 2009], BILDBEARBEITUNG; BILDVERARBEITUNG; GRAFIK (EDV) / BIOINFORMATIK; INFORMATIK BIOMEDIZIN; MEDIZIN DATA MINING (EDV); INTELLIGENZ KÜNSTLICHE INTELLIGENZ; KI; - AI; AI ( ), Neuware - Similarity-based learning methods have a great potential as an intuitive and exible toolbox for mining, visualization,and inspection of largedata sets. They combine simple and human-understandable principles, such as distance-based classi cation, prototypes, or Hebbian learning, with a large variety of di erent, problem-adapted design choices, such as a data-optimum topology, similarity measure, or learning mode. In medicine, biology, and medical bioinformatics, more and more data arise from clinical measurements such as EEG or fMRI studies for monitoring brain activity, mass spectrometry data for the detection of proteins, peptides and composites, or microarray pro les for the analysis of gene expressions. Typically, data are high-dimensional, noisy, and very hard to inspect using classic (e. g. , symbolic or linear) methods. At the same time, new technologies ranging from the possibility of a very high resolution of spectra to high-throughput screening for microarray data are rapidly developing and carry thepromiseofane cient,cheap,andautomaticgatheringoftonsofhigh-quality data with large information potential. Thus, there is a need for appropriate - chine learning methods which help to automatically extract and interpret the relevant parts of this information and which, eventually, help to enable und- standingofbiologicalsystems,reliablediagnosisoffaults,andtherapyofdiseases such as cancer based on this information. Moreover, these application scenarios pose fundamental and qualitatively new challenges to the learning systems - cause of the speci cs of the data and learning tasks. Since these characteristics are particularly pronounced within the medical domain, but not limited to it and of principled interest, this research topic opens the way toward important new directions of algorithmic design and accompanying theory. 201 pp. Englisch

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Similarity-Based Clustering - Michael Biehl
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Michael Biehl:
Similarity-Based Clustering - Taschenbuch

1, ISBN: 9783642018046

[ED: Taschenbuch], [PU: Springer-Verlag GmbH], Neuware - Similarity-based learning methods have a great potential as an intuitive and exible toolbox for mining, visualization,and inspection of largedata sets. They combine simple and human-understandable principles, such as distance-based classi cation, prototypes, or Hebbian learning, with a large variety of di erent, problem-adapted design choices, such as a data-optimum topology, similarity measure, or learning mode. In medicine, biology, and medical bioinformatics, more and more data arise from clinical measurements such as EEG or fMRI studies for monitoring brain activity, mass spectrometry data for the detection of proteins, peptides and composites, or microarray pro les for the analysis of gene expressions. Typically, data are high-dimensional, noisy, and very hard to inspect using classic (e. g. , symbolic or linear) methods. At the same time, new technologies ranging from the possibility of a very high resolution of spectra to high-throughput screening for microarray data are rapidly developing and carry thepromiseofane cient,cheap,andautomaticgatheringoftonsofhigh-quality data with large information potential. Thus, there is a need for appropriate - chine learning methods which help to automatically extract and interpret the relevant parts of this information and which, eventually, help to enable und- standingofbiologicalsystems,reliablediagnosisoffaults,andtherapyofdiseases such as cancer based on this information. Moreover, these application scenarios pose fundamental and qualitatively new challenges to the learning systems - cause of the speci cs of the data and learning tasks. Since these characteristics are particularly pronounced within the medical domain, but not limited to it and of principled interest, this research topic opens the way toward important new directions of algorithmic design and accompanying theory., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 235x155x13 mm, 201, [GW: 319g], Banküberweisung, PayPal

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Similarity-Based Clustering: Recent Developments and Biomedical Applications - Villmann, Thomas / Biehl, Michael / Hammer, Barbara
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Villmann, Thomas / Biehl, Michael / Hammer, Barbara:
Similarity-Based Clustering: Recent Developments and Biomedical Applications - gebrauchtes Buch

2007, ISBN: 9783642018046

ID: 8006851

This book is the outcome of the Dagstuhl Seminar on "Similarity-Based Clustering" held at Dagstuhl Castle, Germany, in Spring 2007. In three chapters, the three fundamental aspects of a theoretical background, the representation of data and their connection to algorithms, and particular challenging applications are considered. Topics discussed concern a theoretical investigation and foundation of prototype based learning algorithms, the development and extension of models to directions such as general data structures and the application for the domain of medicine and biology. Similarity based methods find widespread applications in diverse application domains, including biomedical problems, but also in remote sensing, geoscience or other technical domains. The presentations give a good overview about important research results in similarity-based learning, whereby the character of overview articles with references to correlated research articles makes the contributions particularly suited for a first reading concerning these topics. Similarity-Based Clustering: Recent Developments and Biomedical Applications Villmann, Thomas / Biehl, Michael / Hammer, Barbara, Springer

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Similarity-Based Clustering - Thomas Villmann; M. Biehl; Barbara Hammer; Michel Verleysen
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Thomas Villmann; M. Biehl; Barbara Hammer; Michel Verleysen:
Similarity-Based Clustering - neues Buch

ISBN: 9783642018046

ID: 9783642018046

Life Sciences; Life Sciences, general; Computational Biology/Bioinformatics; Biomedicine general; Data Mining and Knowledge Discovery; Information Storage and Retrieval; Computer Imaging, Vision, Pattern Recognition and Graphics Extension, algorithms, bioinformatics, biology, classification, feature selection, learning, machine learning, modeling, neural gas, optimization, probabilistic modeling, statistical mechanics, vector quantization, visualization Books Book, Springer Science+Business Media

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Similarity-Based Clustering Recent Developments and Biomedical Applications - Biehl, Michael (Herausgeber); Hammer, Barbara (Herausgeber); Verleysen, Michel (Herausgeber); Villmann, Thomas (Herausgeber)
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Biehl, Michael (Herausgeber); Hammer, Barbara (Herausgeber); Verleysen, Michel (Herausgeber); Villmann, Thomas (Herausgeber):
Similarity-Based Clustering Recent Developments and Biomedical Applications - neues Buch

2009, ISBN: 3642018041

ID: A6877512

Kartoniert / Broschiert Bildbearbeitung, Bildverarbeitung, Grafik (EDV) / Bildverarbeitung, Bioinformatik, Informatik / Bioinformatik, Biomedizin, Medizin / Biomedizin, Data Mining (EDV), Intelligenz / Künstliche Intelligenz, KI, Künstliche Intelligenz - AI, AI ( Künstliche Intelligenz ), mit Schutzumschlag neu, [PU:Springer-Verlag GmbH]

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Details zum Buch
Similarity-Based Clustering

This book is the outcome of the Dagstuhl Seminar on "Similarity-Based Clustering" held at Dagstuhl Castle, Germany, in Spring 2007. In three chapters, the three fundamental aspects of a theoretical background, the representation of data and their connection to algorithms, and particular challenging applications are considered. Topics discussed concern a theoretical investigation and foundation of prototype based learning algorithms, the development and extension of models to directions such as general data structures and the application for the domain of medicine and biology. Similarity based methods find widespread applications in diverse application domains, including biomedical problems, but also in remote sensing, geoscience or other technical domains. The presentations give a good overview about important research results in similarity-based learning, whereby the character of overview articles with references to correlated research articles makes the contributions particularly suited for a first reading concerning these topics.

Detailangaben zum Buch - Similarity-Based Clustering


EAN (ISBN-13): 9783642018046
ISBN (ISBN-10): 3642018041
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2009
Herausgeber: Springer-Verlag GmbH
201 Seiten
Gewicht: 0,319 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 01.07.2009 09:37:19
Buch zuletzt gefunden am 04.10.2017 14:52:13
ISBN/EAN: 3642018041

ISBN - alternative Schreibweisen:
3-642-01804-1, 978-3-642-01804-6


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