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Using Clustering to Learn Distance Functions for Supervised Similarity Assessment

Using Clustering to Learn Distance Functions for Supervised Similarity Assessment. Christoph F. Eick, A. Rouhana, A. Bagherjeiran, R. Vilalta Department of Computer Science University of Houston Organization of the Talk Similarity Assessment A Framework for Distance Function Learning

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438 views • 30 slides

Nearest-Neighbor Classifiers

Nearest-Neighbor Classifiers. Requires three things The set of stored records Distance Metric to compute distance between records The value of k , the number of nearest neighbors to retrieve To classify an unknown record: Compute distance to other training records

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355 views • 5 slides

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Good distance function - PowerPoint PPT Presentation

Using Clustering to Learn Distance Functions for Supervised Similarity Assessment

Nearest-Neighbor Classifiers