Splitting-while-merging framework for clustering high-dimension data with component-wise expectation conditional maximisation.
Rui FaBasel Abu-JamousDavid RobertsAsoke K. NandiPublished in: ICASSP (2014)
Keyphrases
- data sets
- data points
- database
- input space
- data analysis
- training data
- high dimension
- image processing
- input data
- similarity measure
- decision trees
- probabilistic model
- image data
- semi supervised
- principal component analysis
- dimensionality reduction
- unsupervised learning
- high dimensional data
- high dimensionality
- real valued
- feature selection
- computer vision