Toward Multidiversified Ensemble Clustering of High-Dimensional Data: From Subspaces to Metrics and Beyond.
Dong HuangChang-Dong WangJian-Huang LaiChee Keong KwohPublished in: IEEE Trans. Cybern. (2022)
Keyphrases
- neural network
- ensemble learning
- entropy measure
- mutual subspace method
- high dimensional
- principal component analysis
- data points
- low dimensional
- high dimensional data
- ensemble methods
- base classifiers
- random forests
- training set
- training data
- random forest
- feature space
- similarity metrics
- error metrics
- case study
- nearest neighbor
- ensemble classifier
- classifier ensemble
- multiple classifiers
- hilbert space
- neural network ensemble