A New Semi-Supervised Subspace Clustering Algorithm on Fitting Mixture Models.
Young Bun KimJean GaoPublished in: CIBCB (2005)
Keyphrases
- mixture model
- clustering algorithm
- subspace clustering
- subspace analysis
- em algorithm
- gaussian mixture model
- generative model
- probabilistic model
- subspace projections
- expectation maximization
- unsupervised learning
- low dimensional
- high dimensional data
- model selection
- parameter estimation
- density estimation
- clustering method
- language model
- mixture modeling
- maximum likelihood
- k means
- cluster analysis
- high dimensional
- dimensionality reduction
- feature space
- linear subspace
- subspace learning
- principal component analysis
- probability density function
- document clustering
- mixture of gaussians
- model based clustering
- dirichlet distribution
- machine learning
- feature extraction
- finite mixtures
- cross validation
- subspace methods
- reinforcement learning
- overlapping clustering