r语言数据挖掘算法的相关内容

文章 2017-05-02 来自：开发者社区

《R语言数据挖掘》——2.6 高性能算法

本节书摘来自华章出版社《R语言数据挖掘》一书中的第2章，第2.6节，作者［哈萨克斯坦］贝特·麦克哈贝尔（Bater Makhabel），李洪成许金炜段力辉译，更多章节内容可以访问云栖社区“华章计算机”公众号查看。 2.6　高性能算法伴随着数据集规模的增长，对高性能关联/模式挖掘算法的要求也随之增加。随着Hadoop和其他类MapReduce平台的提出，满足这些需求成为可能。相关内容将于后....

文章 2017-05-02 来自：开发者社区

2.4.2　GSP算法广义序列模式（Generalized Sequential Pattern，GSP）算法是一个类似Apriori的算法，但它应用于序列模式。该算法是逐层算法，采取宽度优先策略。它具有如下的特征： GSP算法是Apriori算法的扩展。它利用Apriori性质（向下封闭），即，给定最小支持计数，若不接受某个序列，则其超序列也将丢弃。需要对初始事务数据集进行多次扫描。采.....

文章 2017-05-02 来自：开发者社区

R语言数据挖掘2.2.4.2　FP-growth算法

2.2.4.2　FP-growth算法这里是递归定义的伪代码，其输入值为：R←GenerateFPTree(D), P← , F←

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更新时间 2023-04-23 16:04:11

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