A high-dimensional feature clustering approach to support knowledge-assisted visualization.
Julia Eunju NamMauricio MaurerKlaus MuellerPublished in: Comput. Graph. (2009)
Keyphrases
- high dimensional
- knowledge management
- clustering algorithm
- relevant knowledge
- self organizing maps
- clustering method
- data points
- high dimensional data
- acquire knowledge
- knowledge base
- domain knowledge
- expert systems
- knowledge creation
- data clustering
- k means
- high dimensional datasets
- visual analytics
- categorical data
- knowledge sources
- cluster analysis
- unsupervised learning
- data mining
- knowledge acquisition
- feature set
- image features
- end users
- feature vectors
- background knowledge
- design process
- multi dimensional
- variable selection
- dimensionality reduction
- knowledge discovery
- knowledge visualization