Clustering by Searching Density Peaks via Local Standard Deviation.
Juanying XieWeiliang JiangLijuan DingPublished in: IDEAL (2017)
Keyphrases
- standard deviation
- clustering algorithm
- correlation coefficient
- normal distribution
- clustering method
- k means
- impulse response
- density based clustering algorithm
- arbitrary shape
- data clustering
- root mean square error
- self organizing maps
- unsupervised learning
- confidence level
- estimation error
- dominant orientation
- hierarchical clustering
- spectral clustering
- outlier detection
- data points
- objective function