A density estimation approach for detecting and explaining exceptional values in categorical data.
Fabrizio AngiulliFabio FassettiLuigi PalopoliCristina SerraoPublished in: Appl. Intell. (2022)
Keyphrases
- density estimation
- categorical data
- numerical data
- attribute values
- cluster analysis
- mixture model
- probability density function
- outlier detection
- probability density
- mixture modeling
- parzen window
- gaussian mixture model
- density function
- nonparametric density estimation
- kernel density estimation
- density estimators
- multivariate gaussian distribution
- continuous data
- data sets
- hierarchical latent class models
- density estimates
- em algorithm
- object recognition
- clustering algorithm
- computer vision
- data mining