Gaussian Clusters and Noise: An Approach Based on the Minimum Description Length Principle.
Panu LuostoJyrki KivinenHeikki MannilaPublished in: Discovery Science (2010)
Keyphrases
- gaussian noise
- arbitrary shape
- clustering algorithm
- data clustering
- noise model
- signal to noise ratio
- random noise
- gaussian filter
- data points
- missing data
- noisy images
- noise level
- median filter
- input data
- noise removal
- hierarchical clustering
- overlapping clusters
- image noise
- impulse response
- noise free
- data sets
- hierarchical structure
- maximum likelihood
- denoising
- probabilistic model
- image processing
- neural network