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ICDM
2006
IEEE
100views Data Mining» more  ICDM 2006»
14 years 4 months ago
Meta Clustering
Clustering is ill-defined. Unlike supervised learning where labels lead to crisp performance criteria such as accuracy and squared error, clustering quality depends on how the cl...
Rich Caruana, Mohamed Farid Elhawary, Nam Nguyen, ...
APGV
2006
ACM
181views Visualization» more  APGV 2006»
14 years 4 months ago
Categorization of natural scenes: local vs. global information
Understanding the robustness and rapidness of human scene categorization has been a focus of investigation in the cognitive sciences over the last decades. At the same time, progr...
Julia Vogel, Adrian Schwaninger, Christian Wallrav...
BMCBI
2008
132views more  BMCBI 2008»
13 years 10 months ago
Computational cluster validation for microarray data analysis: experimental assessment of Clest, Consensus Clustering, Figure of
Background: Inferring cluster structure in microarray datasets is a fundamental task for the so-called -omic sciences. It is also a fundamental question in Statistics, Data Analys...
Raffaele Giancarlo, Davide Scaturro, Filippo Utro
DASFAA
2007
IEEE
178views Database» more  DASFAA 2007»
14 years 4 months ago
ClusterSheddy : Load Shedding Using Moving Clusters over Spatio-temporal Data Streams
Abstract. Moving object environments are characterized by large numbers of objects continuously sending location updates. At times, data arrival rates may spike up, causing the loa...
Rimma V. Nehme, Elke A. Rundensteiner
CHI
2011
ACM
13 years 1 months ago
Knowing funny: genre perception and categorization in social video sharing
Categorization of online videos is often treated as a tag suggestion task; tags can be generated by individuals or by machine classification. In this paper, we suggest categoriza...
Jude Yew, David A. Shamma, Elizabeth F. Churchill