Performance Evaluation of t-SNE and MDS Dimensionality Reduction Techniques with KNN, ENN and SVM Classifiers.
Shadman SakibMd. Abu Bakr SiddiqueMd. Abdur RahmanPublished in: CoRR (2020)
Keyphrases
- knn
- svm classifier
- dimensionality reduction
- support vector machine svm
- multidimensional scaling
- support vector machine
- k nearest neighbor
- dimensionality reduction methods
- feature selection
- low dimensional
- kernel pca
- nearest neighbor
- pattern recognition
- text categorization
- feature space
- support vector
- high dimensional data
- principal component analysis
- high dimensional
- kernel function
- distance function
- classification algorithm
- k nearest neighbour
- euclidean distance
- classification method
- image classification
- neural network
- back propagation
- feature extraction
- support vectors
- multi class
- manifold learning
- text classification
- principal components
- knn algorithm
- hyperplane
- input space
- kernel methods
- training set
- feature vectors
- similarity search
- radial basis function
- nearest neighbour
- binary classifiers
- data points
- knn classifier
- knn classification
- locally linear embedding
- binary classification
- learning algorithm
- data mining