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my_apriori
很好用的关联规则挖掘经典算法,推荐使用。包括支持度、置信度、提升度,输出结果到excel文件(Good use of association rules mining classic algorithm, recommended)
- 2018-11-14 15:51:16下载
- 积分:1
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FDP聚类算法
说明: 一种无监督的聚类算法,基于密度聚类,名称为基于快速搜索与寻找密度峰值的聚类(Clustering by fast search and find of desity peaks)
- 2020-02-24 15:43:51下载
- 积分:1
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python-knn
主要利用Python软件,利用KNN算法对垃圾邮件进行分类(This paper mainly uses Python software to classify spam mail by using KNN algorithm)
- 2017-11-10 15:46:56下载
- 积分:1
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ga-svm
用遗传算法优化支持向量回归机C、g、p参数(Optimization of C, G, P parameters of support vector regression machine by genetic algorithm)
- 2018-01-12 19:32:12下载
- 积分:1
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Python for Data Analysis
说明: 利用python进行数据分析,英文书籍,从pandas库的数据分析工具开始利用高性能工具对数据进行加载、清理、转换、合并以及重塑;利用matpIotlib创建散点图以及静态或交互式的可视化结果;利用pandas的groupby功能对数据集进行切片、切块和汇总操作;处理各种各样的时间序列数据。(Starting from the data analysis tools of pandas database, high performance tools are used to load, clean, transform, merge and remodel data; scatter plots and static or interactive visualization results are created by matpIotlib; data sets are sliced, sliced and aggregated by pandas group by function; and various operations are processed. Time series data.)
- 2020-06-16 03:20:01下载
- 积分:1
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710776
用C++实现各种排序算法:如冒泡排序,选择排序,插入排序,希尔排序,快速排序,归并排序,基数排序和堆排序,并带有源代码说明()
- 2018-05-11 20:06:44下载
- 积分:1
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96857920
生成随机数的算法,原书带的并不能直接使用,这是本人改的直接可用的()
- 2018-05-28 14:18:23下载
- 积分:1
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sklearn-tree-BN-knn
分类器的性能比较与调优:
使用scikit-learn 包中的tree,贝叶斯,knn,对数据进行模型训练,尽量了解其原理及运用。
使用不同分析三种分类器在实验中的性能比较,分析它们的特点。
本实验采用的数据集为house与segment。(Performance comparison and optimization of classifiers:
We use tree, Bayesian and KNN in scikit-learnpackage to train the data model and try to understand its principle and application.
The performances of three classifiers are compared and their characteristics are analyzed.
The data set used in this experiment is house and segment.)
- 2021-04-16 15:08:53下载
- 积分:1
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0056764
这是一本经典数值算法书,包含多种算法的理论,为编程者具有一定参考意义()
- 2018-05-25 16:07:55下载
- 积分:1
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IABC_KMC_test_on_Iris_wine_glass
基于人工蚁群的的改进Kmeans,进行了改进,效果较好(Based on the improvement of artificial ant colony, Kmeans have been improved and the effect is better)
- 2017-05-20 20:24:27下载
- 积分:1