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» Scalability for Clustering Algorithms Revisited
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SIGIR
2009
ACM
15 years 10 months ago
Dynamicity vs. effectiveness: studying online clustering for scatter/gather
We proposed and implemented a novel clustering algorithm called LAIR2, which has constant running time average for on-the-fly Scatter/Gather browsing [4]. Our experiments showed ...
Weimao Ke, Cassidy R. Sugimoto, Javed Mostafa
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 4 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
DMKD
1997
ACM
198views Data Mining» more  DMKD 1997»
15 years 8 months ago
Clustering Based On Association Rule Hypergraphs
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad...
CIKM
2009
Springer
15 years 10 months ago
Scalable learning of collective behavior based on sparse social dimensions
The study of collective behavior is to understand how individuals behave in a social network environment. Oceans of data generated by social media like Facebook, Twitter, Flickr a...
Lei Tang, Huan Liu
TC
2010
15 years 2 months ago
Scalable Node-Level Computation Kernels for Parallel Exact Inference
—In this paper, we investigate data parallelism in exact inference with respect to arbitrary junction trees. Exact inference is a key problem in exploring probabilistic graphical...
Yinglong Xia, Viktor K. Prasanna