Associative Deep Clustering: Training a Classification Network with No Labels.
Philip HäusserJohannes PlappVladimir GolkovElie AljalboutDaniel CremersPublished in: GCPR (2018)
Keyphrases
- training set
- class labels
- radial basis function network
- training samples
- supervised learning
- training phase
- labelled data
- training process
- training data
- unsupervised learning
- classification accuracy
- training examples
- unsupervised clustering
- unsupervised classification
- decision trees
- support vector machine svm
- pattern recognition
- recurrent networks
- classification algorithm
- clustering method
- wireless sensor networks
- data sets
- supervised classification
- support vector machine
- data points
- k means
- collective classification
- model selection
- annotation effort
- image classification
- peer to peer
- pairwise
- support vector
- clustering algorithm
- machine learning
- text classification
- document clustering
- active learning
- multi layer perceptron
- clustering analysis
- feature vectors
- feature space
- labeling process
- feature selection
- labeling effort