Improved Visual Clustering of Large Multi-dimensional Data Sets.
Eduardo TejadaRosane MinghimPublished in: IV (2005)
Keyphrases
- multi dimensional
- high dimensional data sets
- data sets
- multi dimensional data
- clustering algorithm
- clustering method
- high dimensional data
- dimensional data
- visual information
- mixed data
- hierarchical clustering
- index structure
- visual features
- unsupervised learning
- k means
- outlier detection
- range queries
- cluster analysis
- categorical data
- data clustering
- real world data sets
- visual perception
- cluster structure
- multiple dimensions
- information theoretic
- anomaly detection
- training set
- benchmark data sets
- improved algorithm
- document clustering
- low level
- high dimensional
- data analysis
- training data
- decision trees
- search engine