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122
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KDD
2006
ACM
112views Data Mining» more  KDD 2006»
16 years 3 months ago
K-means clustering versus validation measures: a data distribution perspective
K-means is a widely used partitional clustering method. While there are considerable research efforts to characterize the key features of K-means clustering, further investigation...
Hui Xiong, Junjie Wu, Jian Chen
119
Voted
INFOCOM
2003
IEEE
15 years 8 months ago
Measuring Bottleneck Bandwidth of Targeted Path Segments
Abstract— Accurate measurement of network bandwidth is crucial for network management applications as well as flexible Internet applications and protocols which actively manage ...
Khaled Harfoush, Azer Bestavros, John W. Byers
JCKBSE
2008
15 years 4 months ago
Comparing internal and external software quality measurements
Modern software development companies that have a quality assurance program use measurements and standards to improve product quality as perceived by the users of these products. H...
Dimitris Stavrinoudis, Michalis Nik Xenos
AMC
2005
117views more  AMC 2005»
15 years 3 months ago
Teleonomic entropy: measuring the phase-space of end-directed systems
We introduce a novel way of measuring the entropy of a set of values undergoing changes. Such a measure becomes useful when analyzing the temporal development of an algorithm desi...
Alexander Pudmenzky
IR
2010
15 years 1 months ago
A general approximation framework for direct optimization of information retrieval measures
Recently direct optimization of information retrieval (IR) measures becomes a new trend in learning to rank. Several methods have been proposed and the effectiveness of them has ...
Tao Qin, Tie-Yan Liu, Hang Li