A flexible EM-like clustering algorithm for noisy data.
Violeta RoizmanMatthieu JonckheereFrédéric PascalPublished in: CoRR (2019)
Keyphrases
- noisy data
- clustering algorithm
- k means
- noise tolerant
- expectation maximization
- intrinsic dimensionality
- noise free
- input data
- maximum likelihood
- missing data
- missing values
- learning from noisy data
- em algorithm
- unsupervised learning
- probabilistic model
- fuzzy c means
- database
- microarray
- dimensionality reduction
- high dimensionality
- feature vectors
- training data
- image segmentation
- class noise