Joint Exploration of Kernel Functions Potential for Data Representation and Classification: A First Step Toward Interactive Interpretable Dimensionality Reduction.
Yahya AalailaIsmail BachcharHind RakiSami BamansourMouad ElhamdiKaoutar BenghzialMacArthur Ortega-BustamanteLorena Guachi-GuachiDiego Hernán Peluffo-OrdóñezPublished in: SN Comput. Sci. (2024)
Keyphrases
- data representation
- dimensionality reduction
- kernel function
- feature space
- support vector
- kernel learning
- high dimensional feature space
- kernel trick
- dimensionality reduction methods
- input space
- support vector machine
- high dimensional
- feature selection
- feature extraction
- svm classifier
- data representations
- pattern recognition
- classification accuracy
- principal component analysis
- subspace learning
- feature vectors
- decision trees
- feature set
- support vectors
- kernel methods
- machine learning
- linear discriminant analysis
- high dimensional data
- low dimensional
- data points
- multiple kernel learning
- training samples
- support vector machine svm
- training set
- dimension reduction
- pairwise constraints
- supervised learning
- tree kernels
- data analysis
- xml schema
- linear combination
- xml documents
- data model
- class labels