findud<-function(v){
vud<-v[-1]-v[-length(v)]
return(ifelse(vud>0,1,-1))
}
udcorr <-function(x,y) {
ud<-lapply(list(x,y),findud)
return(mean(ud[[1]] == ud[[2]]))
}
diff(u) #差分
sign(diff(u))#将差分转换为-1到1的形式
时间： 2024-09-20 02:16:12
Correlation model!
Correlation model!的相关文章
典型相关分析相关资料
典型相关分析的基本思想 Canonical Correlation Analysis CCA典型相关分析 (canonical correlation analysis)利用综合变量对之间的相关关系来反映两组指标之间的总体相关性的多元统计分析方法.它的基本原理是:为了从总体上把握两组指标之间的相关关系,分别在两组变量中提取有代表性的两个综合变量U1和V1(分别为两个变量组中各变量的线性组合),利用这两个综合变量之间的相关关系来反映两组指标之间的总体相关性. Canonical Correlati
scikit-learn：class and function reference（看看你到底掌握了多少。。）
http://scikit-learn.org/stable/modules/classes.html#module-sklearn.decomposition Reference This is the class and function reference of scikit-learn. Please refer to the full user guide for further details, as the class and function raw specifications
scikit-learn：3. Model selection and evaluation
参考:http://scikit-learn.org/stable/model_selection.html 有待翻译,敬请期待: 3.1. Cross-validation: evaluating estimator performance 3.1.1. Computing cross-validated metrics 3.1.1.1. Obtaining predictions by cross-validation 3.1.2. Cross validation iterators 3.
Paper Reading: Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking
Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual TrackingECCV 2016 The key point of KCF is the ability to efficiently exploit available negative data by including all shifted versions of a training sample, in anthor w
阅读笔记 CCL: Cross-modal Correlation Learning with Multi-grained Fusion by Hierarchical Network
总结 CCL: Cross-modal Correlation Learning with Multi-grained Fusion by Hierarchical Network Yuxin Peng, Jinwei Qi, Xin Huang and Yuxin Yuan 常见方法 使用深度神经网络(DNN)的跨模态检索大体分为两个步骤: 1 The first learning stage is to generate separate representation for each mo
scikit-learn：3.3. Model evaluation: quantifying the quality of predictions
參考:http://scikit-learn.org/stable/modules/model_evaluation.html#scoring-parameter 三种方法评估模型的预測质量: Estimator score method: Estimators都有 score method作为默认的评估标准,不属于本节内容.详细參考不同estimators的文档. Scoring parameter: Model-evaluation toolsusing cross-validation (
ISL - Ch.6 Linear Model Selection and Regularization
Q: Why might we want to use another fitting procedure instead of least squares? A: alternative fitting procedures can yield better prediction accuracy and model interpretability. 6.1 Subset Selection 6.1.1 Best Subset Selection Now in order to select
Lasso linear model实例 | Proliferation index | 评估单细胞的增殖指数
背景:We developed a cell-cycle scoring approach that uses expression data to compute an index for every cell that scores the cell according to its expression of cell-cycle genes. In brief, our approach proceeded through four steps. (A) We reduced dimen
Bayesian generalized linear model (GLM) | 贝叶斯广义线性回归实例
学习GLM的时候在网上找不到比较通俗易懂的教程.这里以一个实例应用来介绍GLM. We used a Bayesian generalized linear model (GLM) to assign every gene to one or more cell populations, as previously described (Zeisel et al., 2015). 在单细胞RNA-seq的分析中,可以用GLM来寻找marker. 贝叶斯 + 广义 + 线性回归 线性回归:这个最基