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Cluster analysis.

Overview

Works:	14 works in 14 publications in 14 languages

Titles

Statistical methods for disease clustering by: (Electronic resources)

Data Analysis and Decision Support by: (Electronic resources)

Cluster randomised trials by: (Electronic resources)

Relational data clustering = models, algorithms, and applications / by: (Electronic resources)

Cluster and classification techniques for the biosciences by: (Electronic resources)

Metaheuristic clustering|h[electronic resource] / by: (Electronic resources)

Data clustering in C++ = an object-oriented approach / by: (Electronic resources)

Clustering in bioinformatics and drug discovery by: (Electronic resources)

From curve fitting to machine learning = an illustrative guide to scientific data analysis and computational intelligence / by: (Electronic resources)

Structure in complex networks by: (Electronic resources)

Subjects

Bioinformatics- Mathematics.

Pattern recognition systems.

Artificial intelligence.

Computational Biology.

Drug Discovery- methods.

Epidemiology- Statistical methods.

Public Health/Gesundheitswesen.

Economic Theory.

Cluster analysis.

Decision support systems.

Complexity.

Statistical Physics.

Artificial Intelligence (incl. Robotics)

Fuzzy algorithms.

Graph theory.

Multivariate Analysis.

Curve fitting.

Computational Intelligence.

Drug development.

Engineering.

Statistics.

Strategic alliances (Business)- Management.

Heuristic programming.

Business Information Systems.

Appl.Mathematics/Computational Methods of Engineering.

Business networks- Management.

Cluster analysis- Data processing.

Physics.

Cluster Analysis.

Small business- Management.

Computational biology.

Pattern Recognition.

Image processing.

Statistical Theory and Methods.

Control Engineering.

Electronic and Computer Engineering.

Biometrics.

Statistics for Life Sciences, Medicine, Health Sciences.

Biology- Data processing.

C++ (Computer program language)

Statistical physics.

Clinical trials.

Optical pattern recognition.

Data Structures.

Relational databases.

Computer Science.

Computational intelligence.

Computer vision.

Probability and Statistics in Computer Science.

Epidemiology.

Information Systems and Communication Service.

Classification- methods.

Data mining.

Biostatistics.

Biology

Biometry- methods.

Engineering mathematics.

Cancer Research.

Data Interpretation, Statistical.

Game Theory/Mathematical Methods.