A fuzzy approach for modelling non-stochastic heterogeneous data in engineering based on cluster analysis.
Uwe ReuterPublished in: Integr. Comput. Aided Eng. (2011)
Keyphrases
- cluster analysis
- heterogeneous data
- fuzzy clustering
- cluster validity
- categorical data
- data integration
- data sources
- data management
- clustering method
- k means
- fuzzy sets
- clustering algorithm
- databases
- data analysis
- data mining
- unsupervised learning
- metadata
- cluster validity index
- hierarchical latent class models
- complex data
- fuzzy rules
- information sources
- data mining techniques
- machine learning
- membership functions
- input data
- data sets
- web data
- language model
- bayesian networks
- image segmentation
- decision making
- latent class models