The system gives two kinds of recommendation algorithms based on association rule mining and user’s transaction pattern clustering.
本系统给出了基于关联规则挖掘和基于用户事务模式聚类两种推荐算法。
参考来源 - 基于数据挖掘的Web个性化信息推荐研究The input vectors are processed by SOM NNs to search for clustering regions, which extracts their central seeds from SOM. The synchronous enlargement of the central seeds partitions mode clustering regions to recognize the fault patterns.3.
使用SOM神经网络对输入数据进行聚类分析,在SOM特征图上生成种子区域,同步生长各种子区域完成模式聚类区域的划分并进行故障模式识别。
参考来源 - 基于自组织神经网络的远程故障诊断技术研究This paper makes deep study and analysis of different pattern-based clustering models, summarizes their commonness and differences.
本文对模式聚类各种算法模型进行深入探讨与分析,总结其共性及特性。
参考来源 - 基于模式聚类的理论研究·2,447,543篇论文数据，部分数据来源于NoteExpress
本系统给出了基于关联规则挖掘和基于用户事务模式聚类两种推荐算法。
The system gives two kinds of recommendation algorithms based on association rule mining and user's transaction pattern clustering.
在分析工业过程数据测量误差源的基础上，提出了一种基于模式聚类的数据预处理方法。
Based on the analysis of data measurement error sources in industrial process, this paper presents a data preprocessing method which is based on pattern recognition.
本文把模糊义互熵和模糊似然函数的性质应用到模式聚类中从而为模式聚类增加了新一种方法；
In this paper, we according to fuzzy theory presented some property bout fuzzy alternation entropy and Similar function and a fuzzy technique about information classification.
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