A combined multidimensional scaling and hierarchical clustering view for the exploratory analysis of multidimensional data.
Paul CraigNéna Roa-SeïlerPublished in: Visualization and Data Analysis (2013)
Keyphrases
- hierarchical clustering
- multidimensional data
- exploratory analysis
- multidimensional scaling
- data visualization
- dimensionality reduction
- low dimensional
- information visualization
- euclidean distance
- cluster analysis
- clustering method
- spatial data
- r tree
- data analysis
- range queries
- vector space
- k means
- clustering algorithm
- data mining
- index structure
- principal component analysis
- data warehouse
- data cube
- knowledge discovery
- scientific data
- similarity search
- latent semantic indexing
- high dimensional data
- feature extraction