Optimising the Distance Metric in the Nearest Neighbour Algorithm on a Real-World Patient Classification Problem.
Hongxing HeSimon HawkinsPublished in: PAKDD (1999)
Keyphrases
- distance metric
- nearest neighbour algorithm
- distance metric learning
- metric learning
- euclidean distance
- nearest neighbour
- knn classification
- nearest neighbor classification
- data sets
- distance measure
- text classification
- unsupervised learning
- image classification
- feature vectors
- decision trees
- feature space
- support vector
- learning algorithm
- model selection
- machine learning
- feature extraction
- neural network
- hopfield network
- computer vision
- linear transformation
- kernel learning
- semi supervised
- similarity measure
- support vector machine svm
- data points