912 search results - page 58 / 183 » A New Study on Distance Metrics as Similarity Measurement |
KAIS
2000
13 years 8 months ago
2000
Abstract. In this paper we present an index structure, called MetricMap, that takes a set of objects and a distance metric and then maps those objects to a k-dimensional space in s...
ESANN
2008
13 years 10 months ago
2008
Abstract. In this paper, we present a new similarity measure for a clustering self-organizing map which will be reached using a new approach of hierarchical clustering. (1) The sim...
PAMI
2010
13 years 7 months ago
2010
—Shape similarity and shape retrieval are very important topics in computer vision. The recent progress in this domain has been mostly driven by designing smart shape descriptors...
ECML
2006
Springer
14 years 21 days ago
2006
Springer
A critical problem in clustering research is the definition of a proper metric to measure distances between points. Semi-supervised clustering uses the information provided by the ...
FOCS
2004
IEEE
14 years 22 days ago
2004
IEEE
Concurrent with recent theoretical interest in the problem of metric embedding, a growing body of research in the networking community has studied the distance matrix defined by n...