A Fast Density and Grid Based Clustering Method for Data With Arbitrary Shapes and Noise.
Bo WuBogdan M. WilamowskiPublished in: IEEE Trans. Ind. Informatics (2017)
Keyphrases
- clustering method
- arbitrary shape
- clustering result
- data sets
- clustering analysis
- clustering algorithm
- spectral clustering
- data analysis
- image data
- hierarchical clustering
- hierarchical clustering algorithm
- cluster analysis
- missing data
- data distribution
- high dimensional data
- low dimensional
- data quality
- xml documents
- pairwise
- similarity matrix
- data structure
- similarity measure