Using clustering to learn distance functions for supervised similarity assessment.
Christoph F. EickAlain RouhanaAbraham BagherjeiranRicardo VilaltaPublished in: Eng. Appl. Artif. Intell. (2006)
Keyphrases
- similarity assessment
- distance function
- similarity function
- similarity measure
- similarity search
- distance metric
- data points
- distance measure
- unsupervised learning
- nearest neighbor
- knn
- distance computation
- knn classification
- clustering algorithm
- quadratic form
- edit distance
- feature selection
- euclidean distance
- data representations
- supervised learning
- semi supervised
- k means
- k nearest neighbor
- clustering method
- artificial intelligence
- cluster centroids
- learning algorithm
- machine learning
- neural network
- case based reasoning
- high dimensional
- expert systems
- pattern recognition
- search engine