A graph-based Gaussian component clustering approach to unsupervised acoustic modeling.
Haipeng WangTan LeeCheung-Chi LeungBin MaHaizhou LiPublished in: INTERSPEECH (2014)
Keyphrases
- unsupervised learning
- graph theoretic
- word sense induction
- clustering algorithm
- clustering method
- k means
- semi supervised
- unsupervised classification
- unsupervised manner
- unsupervised clustering
- normalized cut
- hierarchical clustering
- agglomerative clustering
- data clustering
- document clustering
- unsupervised feature selection
- supervised classification
- cluster analysis
- information theoretic
- learning algorithm
- self organizing maps
- maximum likelihood
- information bottleneck
- neural network
- spectral clustering
- outlier detection
- anomaly detection
- data points
- high dimensional
- pairwise
- cluster validation
- completely unsupervised