K-means for Datasets with Missing Attributes: Building Soft Constraints with Observed and Imputed Values.
Diego P. P. MesquitaJoão P. P. GomesLeonardo Ramos RodriguesPublished in: ESANN (2016)
Keyphrases
- soft constraints
- imputation methods
- missing values
- missing data
- categorical attributes
- k means
- attribute values
- constraint violations
- hard constraints
- binary constraints
- numeric attributes
- constraint satisfaction problems
- constraint satisfaction
- constraint propagation
- incomplete data
- utility theory
- hard and soft constraints
- constraint problems
- multi attribute
- clustering approaches
- clustering algorithm
- cost function
- arc consistency
- partial constraint satisfaction
- cp nets
- continuous attributes
- numerical data
- spectral clustering
- high dimensional data
- clustering method
- evolutionary algorithm