Data mining techniques and SAS as a tool for graphical presentation of principal components analysis and disjoint cluster analysis results.
Emir SlanjankicHaris BaltaAdil JoldicAlsa CvitkovicDenan HericEmir VeledarPublished in: ICAT (2009)
Keyphrases
- cluster analysis
- data mining techniques
- principal components analysis
- data mining
- categorical data
- knowledge discovery
- principal components
- data clustering
- covariance matrix
- association rule mining
- association rules
- linear discriminant analysis
- multivariate statistical analysis
- factor analysis
- discriminant analysis
- hierarchical latent class models
- dimensionality reduction
- data warehouse
- correlation analysis
- clustering method
- clustering algorithm
- support vector machine
- k means
- pairwise
- fuzzy clustering
- multidimensional scaling
- unsupervised learning
- principal component analysis
- feature extraction
- face recognition
- decision trees
- supervised learning
- latent class models
- neural network