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ICMCS
2006
IEEE
145views Multimedia» more  ICMCS 2006»
13 years 10 months ago
A New Study on Distance Metrics as Similarity Measurement
Distance metric is widely used in similarity estimation. In this paper we find that the most popular Euclidean and Manhattan distance may not be suitable for all data distribution...
Jie Yu, Jaume Amores, Nicu Sebe, Qi Tian
ICML
2005
IEEE
14 years 5 months ago
A new Mallows distance based metric for comparing clusterings
Despite of the large number of algorithms developed for clustering, the study on comparing clustering results is limited. In this paper, we propose a measure for comparing cluster...
Ding Zhou, Jia Li, Hongyuan Zha
SODA
2003
ACM
142views Algorithms» more  SODA 2003»
13 years 6 months ago
The similarity metric
—A new class of distances appropriate for measuring similarity relations between sequences, say one type of similarity per distance, is studied. We propose a new “normalized in...
Ming Li, Xin Chen, Xin Li, Bin Ma, Paul M. B. Vit&...
DASFAA
2006
IEEE
121views Database» more  DASFAA 2006»
13 years 10 months ago
A Precise Metric for Measuring How Much Web Pages Change
A number of similarity metrics have been used to measure the degree of web page changes in the literature. When a web page changes, the metrics often represent the change different...
Shin Young Kwon, Sang Ho Lee, Sung Jin Kim
TALG
2010
158views more  TALG 2010»
12 years 11 months ago
Clustering for metric and nonmetric distance measures
We study a generalization of the k-median problem with respect to an arbitrary dissimilarity measure D. Given a finite set P of size n, our goal is to find a set C of size k such t...
Marcel R. Ackermann, Johannes Blömer, Christi...