Self-tuning clustering for high-dimensional data.
Guoqiu WenYonghua ZhuZhiguo CaiWei ZhengPublished in: World Wide Web (2018)
Keyphrases
- high dimensional data
- high dimensionality
- nearest neighbor
- subspace clustering
- dimensionality reduction
- data points
- high dimensions
- low dimensional
- data sets
- dimension reduction
- similarity search
- clustering high dimensional data
- high dimensional datasets
- high dimensional
- data analysis
- manifold learning
- original data
- input space
- linear discriminant analysis
- data distribution
- sparse representation
- lower dimensional
- dimensional data
- high dimensional data sets
- unsupervised learning
- subspace learning
- clustering algorithm
- k means
- gene expression data
- text data
- knn
- locally linear embedding
- image data