Correction to Efficient Computation of Normalized Maximum Likelihood Codes for Gaussian Mixture Models With Its Applications to Clustering.
So HiraiKenji YamanishiPublished in: IEEE Trans. Inf. Theory (2019)
Keyphrases
- efficient computation
- gaussian mixture model
- normalized maximum likelihood
- mixture model
- computational efficiency
- clustering algorithm
- change point detection
- em algorithm
- error correction
- maximum likelihood
- expectation maximization
- unsupervised learning
- k means
- feature vectors
- feature space
- outlier detection
- spatially adaptive
- code length
- data points
- information theoretic
- data sets
- gaussian distribution
- pairwise
- information retrieval
- data mining