Visualizing Attribute Interdependencies Using Mutual Information, Hierarchical Clustering, Multidimensional Scaling, and Self-organizing Maps.
Derek L. NazarethEhsan S. SoofiHuimin ZhaoPublished in: HICSS (2007)
Keyphrases
- hierarchical clustering
- self organizing maps
- multidimensional scaling
- mutual information
- k means
- cluster analysis
- clustering method
- image registration
- low dimensional
- neural network
- unsupervised learning
- attribute values
- clustering algorithm
- competitive learning
- similarity measure
- input data
- feature selection
- dimensionality reduction
- vector space
- euclidean distance
- kernel pca
- principal component analysis
- image processing
- categorical data
- latent semantic indexing
- query processing
- computer vision
- vector space model
- manifold learning
- dimension reduction
- data clustering
- high dimensional data
- active learning