Clustering and causality inference using algorithmic complexity.
Marion RevolleFrançois CayreNicolas Le BihanPublished in: EUSIPCO (2017)
Keyphrases
- clustering algorithm
- k means
- cluster analysis
- self organizing maps
- clustering method
- causal inference
- categorical data
- bayesian networks
- unsupervised learning
- dirichlet process mixture models
- graph theoretic
- fuzzy clustering
- hierarchical clustering
- anomaly detection
- distance metric
- spectral clustering
- outlier detection
- probabilistic inference
- dissimilarity measure
- information extraction
- website
- bayesian model
- inference process
- learning algorithm
- temporal ordering
- neural network