Subspace-Weighted Consensus Clustering for High-Dimensional Data.
Xiaosha CaiDong HuangPublished in: ADMA (2020)
Keyphrases
- high dimensional data
- consensus clustering
- hypergraph partitioning
- subspace clustering
- low dimensional
- clustering ensemble
- dimensionality reduction
- nearest neighbor
- clustering high dimensional data
- high dimensional
- missing values
- data sets
- high dimensionality
- data points
- similarity search
- data analysis
- lower dimensional
- low rank
- subspace learning
- cluster ensemble
- combining multiple
- image segmentation
- manifold learning
- clustering algorithm
- high dimensional datasets
- input data
- subspace clusters
- data mining
- machine learning
- learning algorithm
- computer vision
- clustering quality
- feature extraction
- distance function
- training set
- support vector machine svm