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KDD
2007
ACM
152views Data Mining» more  KDD 2007»
16 years 6 months ago
Efficient incremental constrained clustering
Clustering with constraints is an emerging area of data mining research. However, most work assumes that the constraints are given as one large batch. In this paper we explore the...
Ian Davidson, S. S. Ravi, Martin Ester
IPCCC
2007
IEEE
16 years 22 days ago
Optimal Cluster Head Selection in the LEACH Architecture
LEACH (Low Energy Adaptive Clustering Hierarchy) [1] is one of the popular cluster-based structures, which has been widely proposed in wireless sensor networks. LEACH uses a TDMA ...
Haiming Yang, Biplab Sikdar
FUZZIEEE
2007
IEEE
16 years 23 days ago
Blockwise Similarity in [0, 1] via Triangular Norms and Sugeno Integrals - Application to Cluster Validity
— In many fields, e.g. decision-making, numerical values in [0,1] are available and one is often interested in detecting which are similar. In this paper, we propose an operator...
Hoel Le Capitaine, Thomas Batard, Carl Frél...
CIDR
2007
105views Algorithms» more  CIDR 2007»
15 years 8 months ago
Turning Cluster Management into Data Management; A System Overview
This paper introduces the CondorJ2 cluster management system. Traditionally, cluster management systems such as Condor employ a process-oriented approach with little or no use of ...
Eric Robinson, David J. DeWitt
NIPS
2004
15 years 7 months ago
Spike Sorting: Bayesian Clustering of Non-Stationary Data
Spike sorting involves clustering spike trains recorded by a microelectrode according to the source neuron. It is a complicated problem, which requires a lot of human labor, partl...
Aharon Bar-Hillel, Adam Spiro, Eran Stark