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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Modified K-means Algorithm for Clustering Analysis of Hainan Green Tangerine Peel
verfasst von : Ying Luo, Haiyan Fu
Erschienen in: Digital Services and Information Intelligence
Verlag: Springer Berlin Heidelberg
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K-means is a classic, the division of the clustering algorithm, apply to the classification of the globular data. According to the initial clustering center, this paper comprehensive consideration the characteristics of various Hierarchical cluster algorithms and choose the appropriate Hierarchical cluster algorithm to improve K-means, and combined with Hainan Green Tangerine Peel cluster analysis of data which is compared experiments. The results indicate that the improved algorithm have increasing the distance between classes with each others, get a stable of cluster results and better implementation data mining. Finally to summary the two algorithms and the further research direction.