A methodology to compare Dimensionality Reduction algorithms in terms of loss of quality.
Antonio Gracia BernáSantiago GonzálezVictor RoblesErnestina Menasalvas RuizPublished in: Inf. Sci. (2014)
Keyphrases
- dimensionality reduction
- quality measures
- data structure
- neural network
- orders of magnitude
- significant improvement
- computationally efficient
- data representation
- benchmark datasets
- machine learning algorithms
- high quality
- feature extraction
- high dimensional
- data sets
- theoretical analysis
- computational complexity
- objective function
- times faster
- statistical methods
- decision trees
- quality assessment
- poor quality