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» Comparisons Between Data Clustering Algorithms
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KDD
2005
ACM
177views Data Mining» more  KDD 2005»
14 years 2 months ago
Combining partitions by probabilistic label aggregation
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
Tilman Lange, Joachim M. Buhmann
SIGMOD
2010
ACM
151views Database» more  SIGMOD 2010»
13 years 9 months ago
Exploring schema similarity at multiple resolutions
Large, dynamic, and ad-hoc organizations must frequently initiate data integration and sharing efforts with insufficient awareness of how organizational data sources are related. ...
Ken Smith, Craig Bonaceto, Chris Wolf, Beth Yost, ...
HICSS
2010
IEEE
237views Biometrics» more  HICSS 2010»
14 years 4 months ago
Data Aggregation and Analysis for Cancer Statistics - A Visual Analytics Approach
The disparity between data collected in rural and urban counties is often detrimental in the appropriate analysis of cancer care statistics. Low counts drastically affect the inci...
Ross Maciejewski, Travis Drake, Stephen Rudolph, A...
IROS
2006
IEEE
155views Robotics» more  IROS 2006»
14 years 3 months ago
Multiple Hypothesis Tracking of Clusters of People
— Mobile robots operating in populated environments typically can improve their service and navigation behavior when they know where people are in their vicinity and in which dir...
Manuel Mucientes, Wolfram Burgard
ISCA
2003
IEEE
88views Hardware» more  ISCA 2003»
14 years 2 months ago
Dynamically Managing the Communication-Parallelism Trade-off in Future Clustered Processors
Clustered microarchitectures are an attractive alternative to large monolithic superscalar designs due to their potential for higher clock rates in the face of increasingly wire-d...
Rajeev Balasubramonian, Sandhya Dwarkadas, David H...