Active learning for improving a soft subspace clustering algorithm.
Amel BoulemnadjelFella HachoufAmel HebboulKhalifa DjemalPublished in: Eng. Appl. Artif. Intell. (2015)
Keyphrases
- active learning
- clustering algorithm
- subspace clustering
- random sampling
- learning algorithm
- high dimensional data
- dimensionality reduction
- semi supervised
- relevance feedback
- principal components
- document clustering
- sample size
- low dimensional
- feature space
- subspace learning
- clustering approaches
- experimental design
- subspace clusters
- active learning strategies
- higher order singular value decomposition
- pool based active learning
- training examples
- fuzzy clustering
- learning strategies
- neural network
- semi supervised learning
- knn
- k means
- learning process
- high dimensional
- training data
- machine learning