Efficient global clustering using the Greedy Elimination Method
نویسندگان
چکیده
منابع مشابه
Efficient global clustering using the greedy elimination method - Electronics Letters
Introduction: The K-means algorithm is used widely either as a stand-alone clustering method, or as a fast method for computing the optimal initial cluster centres for more expensive clustering methods. It employs a simple iterative scheme that performs hill climbing from initial centres, whose values are usually randomly picked from the training data. Although the algorithm is very efficient, ...
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using greedy clustering method to solve capacitated location-routing problem with fuzzy demands
using greedy clustering method to solve capacitated location-routing problem with fuzzy demands abstract in this paper, the capacitated location routing problem with fuzzy demands (clrp_fd) is considered. in clrp_fd, facility location problem (flp) and vehicle routing problem (vrp) are observed simultaneously. indeed the vehicles and the depots have a predefined capacity to serve the customerst...
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ژورنال
عنوان ژورنال: Electronics Letters
سال: 2004
ISSN: 0013-5194
DOI: 10.1049/el:20046785