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JMLR
2010
130views more  JMLR 2010»
14 years 11 months ago
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, P...
JMIV
2006
176views more  JMIV 2006»
15 years 4 months ago
Centroidal Voronoi Tessellation Algorithms for Image Compression, Segmentation, and Multichannel Restoration
Centroidal Voronoi tessellations (CVT's) are special Voronoi tessellations for which the generators of the tessellation are also the centers of mass (or means) of the Voronoi ...
Qiang Du, Max Gunzburger, Lili Ju, Xiaoqiang Wang
125
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BIODATAMINING
2008
96views more  BIODATAMINING 2008»
15 years 4 months ago
Fast approximate hierarchical clustering using similarity heuristics
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
Meelis Kull, Jaak Vilo
138
Voted
EUROSYS
2010
ACM
16 years 1 months ago
Delay Scheduling: A Simple Technique for Achieving Locality and Fairness in Cluster Scheduling
As organizations start to use data-intensive cluster computing systems like Hadoop and Dryad for more applications, there is a growing need to share clusters between users. Howeve...
Matei Zaharia, Dhruba Borthakur, Joydeep Sen Sarma...
141
Voted
KDD
1999
ACM
117views Data Mining» more  KDD 1999»
15 years 8 months ago
Identifying Distinctive Subsequences in Multivariate Time Series by Clustering
Most time series comparison algorithms attempt to discover what the members of a set of time series have in common. We investigate a di erent problem, determining what distinguish...
Tim Oates