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» An Experiment with Distance Measures for Clustering
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APGV
2010
ACM
328views Visualization» more  APGV 2010»
14 years 11 months ago
Can I pass?: using affordances to measure perceived size in virtual environments
Perception of an accurate sense of the scale depicted in computer graphics is important for many applications. How to best characterize the accuracy of space perception in compute...
Michael Geuss, Jeanine Stefanucci, Sarah H. Creem-...
PRL
2008
161views more  PRL 2008»
14 years 9 months ago
Automatic kernel clustering with a Multi-Elitist Particle Swarm Optimization Algorithm
This article introduces a scheme for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring groups in the data. T...
Swagatam Das, Ajith Abraham, Amit Konar
NIPS
2004
14 years 11 months ago
Triangle Fixing Algorithms for the Metric Nearness Problem
Various problems in machine learning, databases, and statistics involve pairwise distances among a set of objects. It is often desirable for these distances to satisfy the propert...
Inderjit S. Dhillon, Suvrit Sra, Joel A. Tropp
INFOCOM
2008
IEEE
15 years 4 months ago
Turbo King: Framework for Large-Scale Internet Delay Measurements
—Distance estimation and topological proximity in the Internet have recently emerged as important problems for many distributed applications [1], [10], [11], [19], [29], [31], [4...
Derek Leonard, Dmitri Loguinov
BMCBI
2006
173views more  BMCBI 2006»
14 years 10 months ago
Kernel-based distance metric learning for microarray data classification
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
Huilin Xiong, Xue-wen Chen