Unsupervised feature selection for image classification: A bipartite matching-based principal component analysis approach.
Firoozeh BeiranvandVahid MehrdadMohammad Bagher DowlatshahiPublished in: Knowl. Based Syst. (2022)
Keyphrases
- unsupervised feature selection
- bipartite matching
- image classification
- principal component analysis
- dimensionality reduction
- feature extraction
- negative matrix factorization
- feature selection
- principal components
- minimum cost flow
- nonnegative matrix factorization
- maximum weight
- image representation
- linear discriminant analysis
- data clustering
- low dimensional
- face recognition
- feature space
- sparse representation
- image features
- data matrix
- singular value decomposition
- svm classifier
- image processing
- high dimensional data
- shortest path algorithm
- feature set
- machine learning
- bi objective
- data mining applications
- feature subset
- unsupervised learning
- high dimensional
- feature vectors