Sparse clusterability: testing for cluster structure in high dimensions.
Jose LabordePaul A. StewartZhihua ChenYian A. ChenNaomi C. BrownsteinPublished in: BMC Bioinform. (2023)
Keyphrases
- high dimensions
- cluster structure
- high dimensional data
- high dimensional
- sparse representation
- data points
- dimensionality reduction
- low dimensional
- high dimensional spaces
- similarity search
- original data
- high dimensionality
- data analysis
- data sets
- nearest neighbor
- dimensional data
- clustering method
- dimension reduction
- low rank
- data mining
- sparse coding
- input data
- principal component analysis
- k means
- class labels
- clustering algorithm
- image processing
- machine learning
- poor quality
- database