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» Finding Consistent Clusters in Data Partitions
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PODS
2005
ACM
115views Database» more  PODS 2005»
15 years 12 months ago
A divide-and-merge methodology for clustering
We present a divide-and-merge methodology for clustering a set of objects that combines a top-down "divide" phase with a bottom-up "merge" phase. In contrast, ...
David Cheng, Santosh Vempala, Ravi Kannan, Grant W...
ICDE
2010
IEEE
209views Database» more  ICDE 2010»
15 years 5 months ago
Overlapping Community Search for social networks
— Finding decompositions of a graph into a family of clusters is crucial to understanding its underlying structure. While most existing approaches focus on partitioning the nodes...
Arnau Padrol-Sureda, Guillem Perarnau-Llobet, Juli...
ICML
2005
IEEE
16 years 16 days ago
Clustering through ranking on manifolds
Clustering aims to find useful hidden structures in data. In this paper we present a new clustering algorithm that builds upon the consistency method (Zhou, et.al., 2003), a semi-...
Markus Breitenbach, Gregory Z. Grudic
SAC
2006
ACM
15 years 5 months ago
A scalable algorithm for high-quality clustering of web snippets
We consider the problem of partitioning, in a highly accurate and highly efficient way, a set of n documents lying in a metric space into k non-overlapping clusters. We augment th...
Filippo Geraci, Marco Pellegrini, Paolo Pisati, Fa...
HIS
2004
15 years 1 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...