Comparison Support Vector Machines and K-Nearest Neighbors in Classifying Ischemic Stroke by Using Convolutional Neural Networks as a Feature Extraction.
Glori Stephani SaragihZuherman RustamPublished in: NISS (ACM) (2021)
Keyphrases
- k nearest neighbor
- knn
- convolutional neural networks
- feature extraction
- knn classifier
- support vector
- feature selection
- support vector machine
- nearest neighbor
- support vector machine svm
- classification algorithm
- bayes error
- feature space
- feature vectors
- classification accuracy
- svm classifier
- neural network
- kernel function
- dimensionality reduction
- image processing
- text classification
- distance function
- machine learning
- feature set
- face recognition
- input space
- k nearest
- convolutional network
- kernel methods
- multi class
- data points
- query processing
- training set
- multiscale
- similarity measure