Improving projection-based data analysis by feature space transformations.
Matthias SchäferLeishi ZhangTobias SchreckAndrada TatuJohn Aldo LeeMichel VerleysenDaniel A. KeimPublished in: Visualization and Data Analysis (2013)
Keyphrases
- feature space
- data analysis
- feature vectors
- mean shift
- image representation
- biological data
- kernel function
- principal component analysis
- high dimensional
- dimension reduction
- high dimensionality
- real time
- classification accuracy
- input space
- big data
- hyperplane
- data mining
- data processing
- dimensionality reduction
- rough sets
- feature extraction
- low dimensional
- training samples
- knowledge discovery
- cluster analysis
- data points
- image retrieval
- preprocessing
- multiscale
- pattern discovery
- dissimilarity measure
- feature selection
- high dimension