登录
首页 » matlab » SSTCA

SSTCA

于 2021-04-23 发布 文件大小:2KB
0 343
下载积分: 1 下载次数: 30

代码说明:

  半监督迁移SSTCA算法实现,matlab代码。包括拉普拉斯图矩阵(Semisupervised Domain Adaptation via Transfer Component Analysis)

文件列表:

getLaplacian.txt, 789 , 2018-04-19
MySSTCA.txt, 4061 , 2018-04-21

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

  • debbgger
    三次样条插值的C语言算法,但是总是数据溢出()
    2018-05-27 05:33:39下载
    积分:1
  • PCA
    一个用python实现的PCA算法,并且给了简易素材(A PCA algorithm implemented in python, and gave a simple material)
    2020-08-23 14:38:17下载
    积分:1
  • EM 算法
    用EM算法求解高斯混合模型并可视化,数据是男女生的身高分布,前提是初始化男女生身高各自的均值和方差和比例,然后由EM算法求解,男女生身高的均值方差,以拟合数据。(The EM algorithm is used to solve the Gauss mixture model and visualize. The data is the height distribution of male and female. The premise is to initialize the mean, variance and proportion of the male and female height, then the mean variance of the height of male and female is solved by the EM algorithm, so as to fit the data.)
    2018-07-14 12:46:57下载
    积分:1
  • classification_toolbox
    说明:  多种基本分类训练,包括支持向量机,偏最小二乘,主成分分析和线性分析(A variety of basic classification training, including support vector machine, partial least squares, principal component analysis and linear analysis)
    2020-03-10 11:52:41下载
    积分:1
  • 用python 做的网络爬虫
    说明:  用python 做的网络数据爬虫,爬取淘宝数据,并分析。(Use Python to do the network data crawler, crawl the Taobao data, and analyze.)
    2020-02-25 18:34:31下载
    积分:1
  • 粗糙集
    说明:  粗糙集在进行属性约简时需要求其正域,此为求正域程序(Rough Set for Positive Domain)
    2020-06-19 09:00:06下载
    积分:1
  • 1595175
    动画演示多种排序算法,包括冒泡排序,选择排序,插入排序,快速排序等,()
    2018-03-13 23:48:48下载
    积分:1
  • 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
  • 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
  • GAM
    主要利用R语言进行广义加法模型,进行回归预测(This paper mainly uses R language to carry on the generalized additive model, and carries on the regression forecast)
    2017-11-10 15:43:21下载
    积分:1
  • 696518资源总数
  • 106174会员总数
  • 31今日下载