Relaxing the Identically Distributed Assumption in Gaussian Co-Clustering for High Dimensional Data.
Michael P. B. GallaugherChristophe BiernackiPaul D. McNicholasPublished in: CoRR (2018)
Keyphrases
- high dimensional data
- identically distributed
- generalized gaussian
- high dimensional datasets
- varying degrees
- random variables
- low dimensional
- high dimensional
- dimensionality reduction
- nearest neighbor
- subspace clustering
- probability density function
- data sets
- high dimensionality
- data points
- data analysis
- kullback leibler divergence
- information theoretic
- similarity search
- gaussian model
- markov random field
- maximum a posteriori
- wavelet coefficients
- sparse representation
- graphical models
- high dimensional spaces
- clustering algorithm
- prior model
- missing values
- gaussian mixture model
- text data
- semi supervised
- probabilistic model
- neural network
- clustering method
- maximum likelihood
- gaussian distribution
- probability distribution
- bayesian networks
- learning algorithm