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» Massive Data Pre-Processing with a Cluster Based Approach
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DASFAA
2007
IEEE
178views Database» more  DASFAA 2007»
14 years 1 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
BMCBI
2010
129views more  BMCBI 2010»
13 years 7 months ago
A temporal precedence based clustering method for gene expression microarray data
Background: Time-course microarray experiments can produce useful data which can help in understanding the underlying dynamics of the system. Clustering is an important stage in m...
Ritesh Krishna, Chang-Tsun Li, Vicky Buchanan-Woll...
ICDM
2006
IEEE
100views Data Mining» more  ICDM 2006»
14 years 1 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, ...
SYNASC
2005
IEEE
170views Algorithms» more  SYNASC 2005»
14 years 28 days ago
Density Based Clustering with Crowding Differential Evolution
The aim of this work is to analyze the applicability of crowding differential evolution to unsupervised clustering. The basic idea of this approach, interpreting the clustering pr...
Daniela Zaharie
MLMTA
2007
13 years 8 months ago
Consensus Based Ensembles of Soft Clusterings
— Cluster Ensembles is a framework for combining multiple partitionings obtained from separate clustering runs into a final consensus clustering. This framework has attracted mu...
Kunal Punera, Joydeep Ghosh