登录
首页 » Java » WOA

WOA

于 2018-07-11 发布 文件大小:29007KB
0 331
下载积分: 1 下载次数: 2

代码说明:

  1基于MapReduce的K-Means聚类算法, 2基于MapReduce的分类算法 3MapReduce的频繁项集挖掘算法(1 K-Means clustering algorithm based on MapReduce, 2 classification algorithm based on MapReduce 3 Mining Algorithm for frequent itemsets based on MapReduce)

文件列表:

ALO.pdf, 2967555 , 2015-11-11
DA.pdf, 3779487 , 2015-05-29
GWO.pdf, 4355134 , 2015-03-21
MFO.pdf, 3247436 , 2015-10-19
MOALO.pdf, 1702717 , 2016-07-31
MOGWO.pdf, 1077008 , 2016-01-10
MVO.pdf, 1726085 , 2015-11-11
SCA.pdf, 3333680 , 2016-02-03
WOA\func_plot.m, 3633 , 2016-02-10
WOA\Get_Functions_details.m, 7725 , 2016-02-10
WOA\initialization.m, 1953 , 2016-02-10
WOA\main.m, 3149 , 2016-03-03
WOA\WOA.m, 4214 , 2016-02-10
WOA\WOA.pdf, 1841081 , 2016-02-27
WOA\WOA.png, 232696 , 2016-02-27
数据挖掘基础算法在MapReduce中的实现.pdf, 9168535 , 2018-07-10

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • regress
    一个xgboost实现的回归模型预测,数据集来源于kaggle的taxi竞赛(Regression model prediction based on a xgboost implementation)
    2017-10-13 10:09:42下载
    积分:1
  • 频繁子图算法pafi1.0.1.zip
    频繁子图挖掘算法pafi1.0.1.zip,频繁子图挖掘算法采用c++实现,图数据挖掘方向的可以看一看。
    2022-01-21 02:32:05下载
    积分:1
  • apcluster.m
    ap算法完成ap聚类操作 需要输入参数为数据集 偏向参数 输出结果为聚类数目(The AP algorithm completes the AP clustering operation, the input parameter is the data set bias parameter, and the output result is the number of clusters)
    2017-11-19 23:56:45下载
    积分:1
  • 用matlab 实现了kmeans算法
    用matlab 实现了kmeans算法还附有评价指标计算(Matlab to achieve kmeans algorithm also attached to the evaluation index calculation)
    2020-06-19 04:40:01下载
    积分:1
  • 机器学习与R语言(machine_learning)
    机器学习与R语言(machine_learning)源代码下载,内含R语言实现机器学习算法和应用案例(Machine learning and R language (machine_learning) source code download, containing R language to implement machine learning algorithms and application cases)
    2020-09-26 17:17:47下载
    积分:1
  • sklearn-tree-BN-knn
    说明:  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
  • eyboi737
    基于P-Q分解法的快速潮流计算,可用于实际系统()
    2017-12-05 16:20:12下载
    积分:1
  • Python预处理
    Python数据预处理示例,包括数据清洗、数据整合、数据变换等操作。(Python data preprocessing examples, including data cleaning, data integration, data transformation and other operations.)
    2020-09-17 14:07:54下载
    积分:1
  • pu_ju_lei
    说明:  将数据集转换为拉普拉斯矩阵,然后利用基于图论的谱聚类进行聚类。拉普拉斯矩阵采用高斯核函数,全连接方法计算。谱聚类擅长处理高维数据或非凸数据集。(The data set is transformed into Laplacian matrix, and then clustered by spectral clustering based on graph theory. The Laplacian matrix is calculated by using the Gauss kernel function and the full connection method. Spectral clustering is good at dealing with high-dimensional or non-convex data sets.)
    2019-07-01 16:05:39下载
    积分:1
  • guanlianguize
    r语言中关联规则代码实现 运用arulesViz包和arules包中的apriori函数(Code Implementation of Association Rule)
    2019-01-24 15:39:51下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载