Clustering data with the presence of attribute noise: a study of noise completely at random and ensemble of multiple k-means clusterings.
Natthakan Iam-onPublished in: Int. J. Mach. Learn. Cybern. (2020)
Keyphrases
- k means
- clustering algorithm
- data points
- spectral clustering
- hierarchical clustering
- noisy data
- clustering method
- data sets
- missing data
- attribute noise
- training data
- data clustering
- data sources
- data quality
- class noise
- high dimensional data
- cluster analysis
- input data
- background knowledge
- support vector machine
- clustering quality
- clustering ensemble