Gait disorder classification based on effective feature selection and unsupervised methodology.
Mohsen ShayesteganJan KohoutKaterina TrnkováMartin ChovanecJan MaresPublished in: Comput. Biol. Medicine (2024)
Keyphrases
- feature selection
- classification accuracy
- unsupervised learning
- text classification
- machine learning
- feature set
- classification models
- unsupervised feature selection
- feature extraction
- support vector
- feature space
- supervised learning
- support vector machine
- discriminative features
- supervised and unsupervised learning
- pattern recognition
- supervised classification
- feature selection algorithms
- mutual information
- feature vectors
- method for feature selection
- support vector machine svm
- feature selection and classification
- feature subset
- high dimensionality
- data sets
- text categorization
- model selection
- decision trees
- training set
- pattern classification
- supervised learning tasks
- human recognition
- selected features
- multi class
- irrelevant features
- knn
- partially supervised
- data pre processing
- face recognition
- pointwise mutual information
- support vector classification
- classification algorithm
- classification performances
- class separability
- feature ranking
- semi supervised
- dimensionality reduction
- classification method