Clustering of Variables with Missing Data: Application to Preference Studies.
Karin SahmerEvelyne VigneauMostafa El QannariJoachim KunertPublished in: GfKl (2004)
Keyphrases
- missing data
- missing values
- dirichlet process mixture models
- structure from motion
- incomplete data
- k means
- clustering algorithm
- clustering method
- motion segmentation
- matrix factorization
- low rank
- data imputation
- neural network
- multiple imputation
- imprecise data
- data representation
- spectral clustering
- breast cancer
- unsupervised learning