Performance Analysis of Deep Autoencoder and NCA Dimensionality Reduction Techniques with KNN, ENN and SVM Classifiers.
Md. Abu Bakr SiddiqueShadman SakibMd. Abdur RahmanPublished in: CoRR (2019)
Keyphrases
- knn
- svm classifier
- dimensionality reduction
- support vector machine svm
- support vector machine
- k nearest neighbor
- dimensionality reduction methods
- feature selection
- nearest neighbor
- high dimensional
- distance function
- k nearest neighbour
- support vector
- feature extraction
- high dimensional data
- text categorization
- input space
- classification method
- feature space
- feature vectors
- principal component analysis
- image classification
- support vectors
- knn algorithm
- low dimensional
- similarity search
- pattern recognition
- hyperplane
- classification algorithm
- principal components
- manifold learning
- text classification
- multi class
- kernel pca
- semi supervised
- radial basis function
- knn classifier
- nonlinear dimensionality reduction
- euclidean distance
- back propagation
- kernel function
- data points
- binary classifiers
- machine learning
- ls svm
- classification accuracy
- locally linear embedding
- similarity measure
- data mining