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» Default Clustering from Sparse Data Sets
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PERCOM
2005
ACM
16 years 3 months ago
Mobile data collection in sensor networks: The TinyLime
In this paper we describe TinyLime, a novel middleware for wireless sensor networks that departs from the traditional setting where sensor data is collected by a central monitorin...
Carlo Curino, Matteo Giani, Marco Giorgetta, Aless...
CEC
2005
IEEE
15 years 9 months ago
Multiobjective clustering around medoids
Abstract- The large majority of existing clustering algorithms are centered around the notion of a feature, that is, individual data items are represented by their intrinsic proper...
Julia Handl, Joshua D. Knowles
127
Voted
CORR
2010
Springer
152views Education» more  CORR 2010»
15 years 4 months ago
Microlocal Analysis of the Geometric Separation Problem
Image data are often composed of two or more geometrically distinct constituents; in galaxy catalogs, for instance, one sees a mixture of pointlike structures (galaxy supercluster...
David L. Donoho, Gitta Kutyniok
PODS
2005
ACM
115views Database» more  PODS 2005»
16 years 4 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...
DAGSTUHL
2007
15 years 5 months ago
Discovering Knowledge from Local Patterns with Global Constraints
It is well known that local patterns are at the core of a lot of knowledge which may be discovered from data. Nevertheless, use of local patterns is limited by their huge number an...
Bruno Crémilleux, Arnaud Soulet