Hubness-aware kNN classification of high-dimensional data in presence of label noise.
Nenad TomasevKrisztian BuzaPublished in: Neurocomputing (2015)
Keyphrases
- high dimensional data
- knn classification
- high dimensional spaces
- label noise
- input space
- nearest neighbor
- knn
- k nearest neighbor
- distance function
- high dimensional
- low dimensional
- similarity search
- dimensionality reduction
- active learning
- high dimensionality
- data points
- data sets
- distance metric
- data analysis
- dimension reduction
- linear discriminant analysis
- sparse representation
- training data
- missing values
- machine learning
- manifold learning
- noise tolerant
- input data
- nonlinear dimensionality reduction
- text mining
- image retrieval
- multiple instance learning
- pattern recognition