Cluster analysis - Data processing.

Non-standard parameter adaptation for exploratory data analysis by: (Language materials, printed)

Data clustering = theory, algorithms, and applications / by: (Language materials, printed)

Unsupervised classification = similarity measures, classical and metaheuristic approaches, and applications / by: (Language materials, printed)

A heuristic approach to possibilistic clustering = algorithms and applications / by: (Language materials, printed)

Graph-based clustering and data visualization algorithms by: (Language materials, printed)

Advances in K-means clustering = a data mining thinking / by: (Language materials, printed)

Recent advances in hybrid metaheuristics for dataclustering by: (Language materials, printed)

Constrained clustering = advances in algorithms, theory, and applications / by: (Language materials, printed)

Cluster analysis = a primer using R / by: (Language materials, printed)

Cluster analysis.

Pattern perception.

Artificial Intelligence (incl. Robotics)

Artificial intelligence

R (Computer program language)

Metaheuristics.

Computational Intelligence.

Engineering.

Cluster analysis

Computer algorithms.

Machine theory.

Business Information Systems.

Appl.Mathematics/Computational Methods of Engineering.

Fuzzy sets.

Database Management.

Electronic data processing.

Visualization.

Graph algorithms.

Computer Science.

Statistics for Business/Economics/Mathematical Finance/Insurance.

Information Systems and Communication Service.

Data mining.

Computational Biology/Bioinformatics.

Data Mining and Knowledge Discovery.