Effective Detection of the Alzheimer Disease by Means of Coronal NMSE SVM Feature Classification.
Javier RamírezRosa ChavesJuan Manuel GórrizIgnacio ÁlvarezDiego Salas-GonzalezMíriam LópezFermín SegoviaPublished in: ISNN (2) (2009)
Keyphrases
- support vector machine svm
- feature vectors
- support vector
- support vector machine
- svm classification
- classification algorithm
- unbalanced data
- classification method
- feature set
- classification accuracy
- feature selection
- svm classifier
- feature extraction
- knn
- pattern recognition
- machine learning
- training set
- feature space
- input features
- high classification accuracy
- text classification
- single feature
- detection algorithm
- partially supervised
- feature ranking
- outbreak detection
- k nearest neighbor
- generalization ability
- decision boundary
- multi class classification
- class labels
- object detection
- training data
- feature maps
- fully automated
- kernel function
- standard svm
- supervised learning
- disease diagnosis
- support vector machine classifiers
- improves the classification accuracy
- decision trees