High Dimensional Data Clustering by means of Distributed Dirichlet Process Mixture Models.
Khadidja MeguelatiBenedicte FontezNadine HilgertFlorent MassegliaPublished in: IEEE BigData (2019)
Keyphrases
- high dimensional data
- dirichlet process mixture models
- high dimensionality
- nearest neighbor
- data points
- low dimensional
- high dimensional
- dimensionality reduction
- subspace clustering
- dictionary learning
- sparse representation
- data sets
- data analysis
- similarity search
- generative model
- high dimensional datasets
- clustering high dimensional data
- high dimensional data sets
- bayesian model
- missing values
- clustering method
- missing data
- prior knowledge
- input data
- feature space