Clustering through empirical likelihood ratio.
Volodymyr MelnykovGang ShenPublished in: Comput. Stat. Data Anal. (2013)
Keyphrases
- likelihood ratio
- hypothesis testing
- clustering algorithm
- k means
- information theoretic
- hypothesis test
- document clustering
- likelihood ratio test
- fuzzy clustering
- data clustering
- cluster analysis
- theoretical analysis
- clustering method
- machine learning
- spectral clustering
- categorical data
- lower bound
- conditionally independent
- unsupervised learning
- confidence intervals
- training data
- match scores
- face recognition
- learning algorithm