Explainable Outlier Detection Using Feature Ranking for k-Nearest Neighbors, Gaussian Mixture Model and Autoencoders.
Lucas KrenmayrMarkus GoldsteinPublished in: ICPRAM (2023)
Keyphrases
- gaussian mixture model
- outlier detection
- k nearest neighbor
- knn
- feature selection
- nearest neighbor
- mixture model
- feature vectors
- feature space
- text categorization
- em algorithm
- support vector machine
- density estimation
- maximum likelihood
- knowledge discovery
- expectation maximization
- detection algorithm
- feature subset
- data streams
- classification models
- support vector machine svm
- classification algorithm
- feature extraction
- probability density function
- neural network
- support vector
- data mining
- random forest
- text classification
- dimensionality reduction
- classification accuracy
- information retrieval
- machine learning
- feature set
- multi class
- probabilistic model