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- W2350079435 abstract "Aiming at the disadvantages such as K-means algorithm depending on the initial clustering center and often getting into local optimum solution,etc.,this paper puts forward a kind of K-means algorithm based on simulated annealing making use of the overall optimization characteristic of simulated annealing algorithm.Simulation result indicates that the algorithm weakens the dependence on initial clustering center and improves the stability of former algorithm.The algorithm can get the overall optimum solution and weaken the possibility of getting into local minimum value greatly." @default.
- W2350079435 created "2016-06-24" @default.
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- W2350079435 date "2008-01-01" @default.
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- W2350079435 title "Research on K-means Algorithm Based on Simulated Annealing" @default.
- W2350079435 hasPublicationYear "2008" @default.
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