Self-supervised autoencoders for clustering and classification.
Paraskevi NousiAnastasios TefasPublished in: Evol. Syst. (2020)
Keyphrases
- unsupervised learning
- clustering algorithm
- classification scheme
- feature extraction
- text classification
- pattern recognition
- feature vectors
- machine learning
- high dimensionality
- pattern classification
- automatic classification
- supervised learning
- supervised classification
- feature space
- unsupervised clustering
- unsupervised classification
- feature selection
- k means
- classification process
- support vector machine
- decision trees
- density estimation
- benchmark datasets
- classification rules
- classification algorithm
- classification method
- hierarchical clustering
- learning algorithm
- decision rules
- training set
- high dimensional
- support vector machine svm
- outlier detection
- image classification
- classification accuracy
- categorical data
- image processing
- support vector
- handwritten digits
- clustering analysis
- classification systems
- fuzzy clustering
- high dimensional data
- machine learning algorithms
- self organizing maps
- cluster analysis
- machine learning methods
- information theoretic