Dealing with noisy data in the context of k-NN Classification.
Stefanos OugiaroglouGeorgios EvangelidisPublished in: BCI (2015)
Keyphrases
- knn
- noisy data
- k nearest neighbour
- k nearest neighbor
- classification algorithm
- support vector machine svm
- text classification
- nearest neighbor
- web document classification
- nearest neighbour
- high dimensionality
- feature selection
- support vector machine
- text categorization
- decision trees
- nearest neighbor algorithm
- pattern recognition
- neural network
- document classification
- missing data
- distance function
- input data
- k nearest
- missing values
- classification accuracy
- support vector
- bayesian network classifiers
- noise tolerant
- high dimensional
- voting methods
- nearest neighborhood
- probabilistic neural network
- microarray
- supervised learning
- feature space
- learning algorithm
- machine learning