A dimensionality reduction approach for the visualization of the cluster space: A trustworthiness evaluation.
Andreea GriparisDaniela FaurMihai DatcuPublished in: IGARSS (2016)
Keyphrases
- dimensionality reduction
- low dimensional
- lower dimensional
- data points
- input space
- high dimensional data
- multidimensional scaling
- high dimensionality
- data analysis
- multi dimensional scaling
- data representation
- principal component analysis
- high dimensional
- pattern recognition
- clustering algorithm
- metric learning
- high dimensional spaces
- hierarchical clustering
- linear dimensionality reduction
- structure preserving
- nonlinear dimensionality reduction
- reduced dimensionality
- random projections
- evaluation model
- feature extraction
- visual representation
- subspace clustering
- data sets
- linear discriminant analysis
- cluster analysis
- self organizing maps
- neural network