Medical image classification algorithm based on principal component feature dimensionality reduction.
Kong MingRuQin ZhengSong Kui YanN. ArunkumarPublished in: Future Gener. Comput. Syst. (2019)
Keyphrases
- objective function
- principal components
- classification algorithm
- medical images
- dimensionality reduction
- principal component analysis
- feature set
- covariance matrix
- medical diagnosis
- medical imaging
- k nearest neighbor
- knn
- training set
- accurate classification
- pattern recognition
- class labels
- naive bayes
- support vector machine
- brain images
- medical image retrieval
- high dimensional data
- low dimensional
- kernel space
- high dimensionality
- feature selection
- dimension reduction
- high dimensional
- medical image registration
- training data
- feature extraction
- manifold learning
- hyperplane
- unsupervised learning
- classification method
- learning algorithm
- linear discriminant analysis
- machine learning
- image features
- feature vectors
- feature space
- face images
- nearest neighbor
- classification accuracy
- learning process
- image retrieval
- pairwise
- face recognition
- data mining
- principal component regression