An improved CLTree algorithm
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.Exp...
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Format: | Article |
Language: | zho |
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Beijing Xintong Media Co., Ltd
2016-08-01
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Series: | Dianxin kexue |
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Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016214/ |
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author | Zhuohang LI |
author_facet | Zhuohang LI |
author_sort | Zhuohang LI |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-f7a2c2ee2e3c45d6a34a5adcb31f5409 |
institution | Kabale University |
issn | 1000-0801 |
language | zho |
publishDate | 2016-08-01 |
publisher | Beijing Xintong Media Co., Ltd |
record_format | Article |
series | Dianxin kexue |
spelling | doaj-art-f7a2c2ee2e3c45d6a34a5adcb31f54092025-01-15T03:14:33ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012016-08-013212412759607881An improved CLTree algorithmZhuohang LIAn 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.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016214/clusteringSparkdata miningparallelization |
spellingShingle | Zhuohang LI An improved CLTree algorithm Dianxin kexue clustering Spark data mining parallelization |
title | An improved CLTree algorithm |
title_full | An improved CLTree algorithm |
title_fullStr | An improved CLTree algorithm |
title_full_unstemmed | An improved CLTree algorithm |
title_short | An improved CLTree algorithm |
title_sort | improved cltree algorithm |
topic | clustering Spark data mining parallelization |
url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016214/ |
work_keys_str_mv | AT zhuohangli animprovedcltreealgorithm AT zhuohangli improvedcltreealgorithm |