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» Classes and clusters in data analysis
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APPROX
2008
Springer
101views Algorithms» more  APPROX 2008»
15 years 8 months ago
Streaming Algorithms for k-Center Clustering with Outliers and with Anonymity
Clustering is a common problem in the analysis of large data sets. Streaming algorithms, which make a single pass over the data set using small working memory and produce a cluster...
Richard Matthew McCutchen, Samir Khuller
ICDM
2010
IEEE
216views Data Mining» more  ICDM 2010»
15 years 4 months ago
K-AP: Generating Specified K Clusters by Efficient Affinity Propagation
Abstract--The Affinity Propagation (AP) clustering algorithm proposed by Frey and Dueck (2007) provides an understandable, nearly optimal summary of a data set. However, it suffers...
Xiangliang Zhang, Wei Wang, Kjetil Nørv&ari...
172
Voted
CCR
2002
88views more  CCR 2002»
15 years 6 months ago
Retransmission schemes for streaming internet multimedia: evaluation model and performance analysis
This paper presents a trace-driven simulation study of two classes of retransmission timeout (RTO) estimators in the context of realtime streaming over the Internet. We explore th...
Dmitri Loguinov, Hayder Radha
ETT
2000
91views Education» more  ETT 2000»
15 years 6 months ago
Performance Analysis and Estimation of Call Admission Control Parameters in Wireless Integrated Voice and Data Networks
We propose an admission control policy for wireless multimedia networks that is based on the well known threshold-based guard channel method. The new scheme deals with two differen...
Mahmoud T. El-Hadidi, Khaled M. F. Elsayed, Mohame...
181
Voted
IPSN
2004
Springer
15 years 11 months ago
Distributed optimization in sensor networks
Wireless sensor networks are capable of collecting an enormous amount of data over space and time. Often, the ultimate objective is to derive an estimate of a parameter or functio...
Michael Rabbat, Robert D. Nowak