Application of interval-valued aggregation to optimization problem of k-NN classifiers for missing values case.
Urszula BentkowskaJan G. BazanWojciech RzasaLech ZarebaPublished in: Inf. Sci. (2019)
Keyphrases
- knn
- missing values
- k nearest neighbor
- k nearest neighbour
- interval valued
- nearest neighbor
- missing data
- voting methods
- classification algorithm
- text categorization
- feature selection
- incomplete data
- fuzzy sets
- group decision making
- aggregation operators
- missing attribute values
- nearest neighbour
- high dimensional data
- decision trees
- real valued
- representation scheme
- distance function
- similarity search
- training set
- support vector