Tobacco distribution based on improved K-means algorithm | IEEE Conference Publication | IEEE Xplore

Tobacco distribution based on improved K-means algorithm


Abstract:

In order to solve the problem of distribution area segmentation of tobacco distribution, an improved k-means clustering algorithm was proposed in this paper. Firstly, the...Show More

Abstract:

In order to solve the problem of distribution area segmentation of tobacco distribution, an improved k-means clustering algorithm was proposed in this paper. Firstly, the density of every node was calculated, and the first K nodes with the highest density were selected as initial clustering centers. Then the marginal nodes were prioritized to avoid the bad effect that marginal nodes might cause on clustering result. The experimental result demonstrated that the improved clustering algorithm not only avoided the local optima but also gave serious consideration to every important marginal node.
Date of Conference: 22-24 July 2009
Date Added to IEEE Xplore: 18 August 2009
ISBN Information:
Conference Location: Chicago, IL, USA

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