A New Cross Clustering Algorithm for Improving Performance of Supervised Learning.
Wenshuo ZhouKuangrong HaoChunli JiangLei ChenXue-Song TangXin CaiPublished in: IEEE Access (2019)
Keyphrases
- supervised learning
- clustering algorithm
- unsupervised learning
- supervised classification
- machine learning
- learning algorithm
- k means
- semi supervised
- reinforcement learning
- active learning
- fuzzy clustering
- spectral clustering
- data clustering
- learning problems
- clustering method
- semi supervised learning
- labeled data
- clustering analysis
- grouping algorithm
- class labels
- learning tasks
- statistical learning
- training samples
- training data
- single link
- ensemble clustering
- multiple instance learning
- cluster analysis
- fuzzy c means
- document clustering
- training examples
- data reduction
- subspace clustering
- database
- arbitrary shape
- data analysis
- unsupervised clustering
- clustering framework
- mixed data
- search engine
- genetic algorithm
- partitional clustering
- real time