A meta-learning approach for determining the number of clusters with consideration of nearest neighbors.
Jong-Seok LeeSigurdur ÓlafssonPublished in: Inf. Sci. (2013)
Keyphrases
- meta learning
- nearest neighbor
- inductive learning
- meta knowledge
- learning tasks
- k nearest neighbor
- model selection
- machine learning algorithms
- decision trees
- knn
- data points
- machine learning
- feature selection
- training set
- high dimensional
- metamodel
- knowledge acquisition
- database
- real world
- data mining
- test set
- image classification
- multi class
- base classifiers
- case study
- knowledge base