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» Landscape of Clustering Algorithms
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VLDB
1994
ACM
140views Database» more  VLDB 1994»
15 years 10 months ago
Efficient and Effective Clustering Methods for Spatial Data Mining
Spatial data mining is the discovery of interesting relationships and characteristics that may exist implicitly in spatial databases. In this paper, we explore whether clustering ...
Raymond T. Ng, Jiawei Han
ESOA
2006
15 years 10 months ago
Dynamic Decentralized Any-Time Hierarchical Clustering
Hierarchical clustering is used widely to organize data and search for patterns. Previous algorithms assume that the body of data being clustered is fixed while the algorithm runs...
H. Van Dyke Parunak, Richard Rohwer, Theodore C. B...
ISHPC
2003
Springer
15 years 11 months ago
Evaluating Heuristic Scheduling Algorithms for High Performance Parallel Processing
Most cluster systems used in high performance computing do not allow process relocation at run-time. Finding an allocation that results in minimal completion time is NP-hard and (n...
Lars Lundberg, Magnus Broberg, Kamilla Klonowska
HIS
2009
15 years 4 months ago
A Memetic Algorithm for the Generalized Minimum Vertex-Biconnected Network Problem
Abstract--The generalized minimum vertex-biconnected network problem plays an important role in the design of survivable backbone networks that should be fault tolerant to single c...
Bin Hu, Günther R. Raidl
TALG
2010
158views more  TALG 2010»
15 years 1 months ago
Clustering for metric and nonmetric distance measures
We study a generalization of the k-median problem with respect to an arbitrary dissimilarity measure D. Given a finite set P of size n, our goal is to find a set C of size k such t...
Marcel R. Ackermann, Johannes Blömer, Christi...