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COMGEO
2004
ACM
13 years 8 months ago
A local search approximation algorithm for k-means clustering
In k-means clustering we are given a set of n data points in d-dimensional space d and an integer k, and the problem is to determine a set of k points in d , called centers, to mi...
Tapas Kanungo, David M. Mount, Nathan S. Netanyahu...
ICEC
1994
68views more  ICEC 1994»
13 years 9 months ago
Extended Forking Genetic Algorithm for Order Representation (O-FGA)
There are two types of GAs with difference of their representation of strings. They are the binary coded GA and the order-based GA. We've already proposed a new type of binar...
Shigeyoshi Tsutsui, Yoshiji Fujimoto, Isao Hayashi
OSDI
2004
ACM
14 years 8 months ago
Configuration Debugging as Search: Finding the Needle in the Haystack
This work addresses the problem of diagnosing configuration errors that cause a system to function incorrectly. For example, a change to the local firewall policy could cause a ne...
Andrew Whitaker, Richard S. Cox, Steven D. Gribble
ICML
2009
IEEE
14 years 3 months ago
Fast evolutionary maximum margin clustering
The maximum margin clustering approach is a recently proposed extension of the concept of support vector machines to the clustering problem. Briefly stated, it aims at finding a...
Fabian Gieseke, Tapio Pahikkala, Oliver Kramer
KDD
2000
ACM
149views Data Mining» more  KDD 2000»
14 years 22 hour ago
Efficient clustering of high-dimensional data sets with application to reference matching
Many important problems involve clustering large datasets. Although naive implementations of clustering are computationally expensive, there are established efficient techniques f...
Andrew McCallum, Kamal Nigam, Lyle H. Ungar