Cluster Analysis of High-Dimensional Data: A Case Study.
Richard BeanGeoffrey J. McLachlanPublished in: IDEAL (2005)
Keyphrases
- cluster analysis
- high dimensional data
- data analysis
- dimensionality reduction
- dimension reduction
- low dimensional
- high dimensionality
- categorical data
- data sets
- similarity search
- subspace clustering
- clustering method
- unsupervised learning
- clustering algorithm
- data clustering
- nearest neighbor
- data points
- high dimensional
- data mining
- original data
- missing values
- k means
- hierarchical latent class models
- high dimensional spaces
- cluster validity
- linear discriminant analysis
- fuzzy clustering
- microarray data
- clustering high dimensional data
- cluster structure
- manifold learning
- high dimensional datasets
- variable selection
- real world
- data mining techniques
- machine learning
- input data
- decision trees
- fuzzy c means
- database
- image processing
- feature space