Counterfactuals Explanations for Outliers via Subspaces Density Contrastive Loss.
Fabrizio AngiulliFabio FassettiSimona NisticòLuigi PalopoliPublished in: DS (2023)
Keyphrases
- arbitrarily oriented
- causal models
- data points
- low rank representation
- outlier detection
- arbitrary shape
- subspace clusters
- low dimensional
- high dimensional data
- missing data
- low density
- correlation clustering
- generating explanations
- mutual subspace method
- density function
- principal component analysis
- feature space
- information loss
- error propagation
- lower dimensional
- data mining
- face recognition
- learning algorithm
- machine learning