Minimum description length and clustering with exemplars.
Po-Hsiang LaiJoseph A. O'SullivanRobert PlessPublished in: ISIT (2009)
Keyphrases
- minimum description length
- information theoretic
- mdl principle
- clustering algorithm
- unsupervised learning
- normalized maximum likelihood
- clustering method
- cluster analysis
- self organizing maps
- mutual information
- data points
- k means
- high dimensional data
- spectral clustering
- data clustering
- similarity function
- fuzzy clustering
- information theory
- categorical data
- data mining tasks
- neural network