An improved CLTree algorithm

Zhuohang LI

doi:10.11959/j.issn.1000-0801.2016214

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An improved CLTree algorithm

research and development | 更新时间：2024-06-05

- An improved CLTree algorithm
- Telecommunications Science Vol. 32, Issue 8, Pages: 124-127(2016)
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- DOI：10.11959/j.issn.1000-0801.2016214
  CLC： TP399
- Published Online：2016-08，
  
  Published：20 August 2016
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Zhuohang LI. An improved CLTree algorithm[J]. Telecommunications science, 2016, 32(8): 124-127.
DOI：

Zhuohang LI. An improved CLTree algorithm[J]. Telecommunications science, 2016, 32(8): 124-127. DOI： 10.11959/j.issn.1000-0801.2016214.

摘要

针对聚类算法CLTree 精度低、算法效率低的问题，提出了CLTree-R 算法，之后将其应用于UCI 数据集进行聚类分析。基于Spark平台的特性对数据进行并行处理，加快了算法运行效率。实验结果也表明，使用该算法对官方数据集进行聚类分析时，可以得到较为合理的顾客划分。

Abstract

An improved algorithm called CLTree-R was proposed.It could compensate the shortcoming of CLTree algorithm such as low accurate and inefficiency.Then CLTree-R was applied in clustering analysis for UCI data sets.In order to improve the efficiency，data set was parallel processed on Spark platform.Experimental results show that this algorithm can get reasonable customer classification when making cluster analysis on official data set.

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references

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