Efficient Computation of Normalized Maximum Likelihood Codes for Gaussian Mixture Models With Its Applications to Clustering.
So HiraiKenji YamanishiPublished in: IEEE Trans. Inf. Theory (2013)
Keyphrases
- efficient computation
- gaussian mixture model
- normalized maximum likelihood
- mixture model
- change point detection
- em algorithm
- feature vectors
- unsupervised learning
- spatially adaptive
- computational efficiency
- expectation maximization
- k means
- clustering algorithm
- feature space
- minimum description length
- probabilistic model
- data objects
- skyline queries
- high dimensional
- computationally efficient
- maximum likelihood