Using Clustering to Learn Distance Functions for Supervised Similarity Assessment.
Christoph F. EickAlain RouhanaAbraham BagherjeiranRicardo VilaltaPublished in: MLDM (2005)
Keyphrases
- similarity assessment
- distance function
- similarity function
- distance metric
- similarity search
- knn
- data points
- similarity measure
- nearest neighbor
- unsupervised learning
- euclidean distance
- knn classification
- distance measure
- semi supervised
- case retrieval
- learning algorithm
- distance computation
- supervised learning
- data representations
- machine learning
- k nearest neighbor
- clustering method
- k means
- data analysis
- case library
- data mining