If you are worried about leaving out covariates you could regress out them first and analyse the residuals against the Snps.在实验设计中,协变量是独立变量,实验者不能操纵,但仍影响实验结果.我想知道温度对于降水量的影响,但是海拔高度.经纬度.当地湿度等变量也会影响降水量.那么,在我的研究中,温度就是自变量,降水量是应变量,而海拔高度.经纬度和当地湿度就是协变量. Analy…

A Beginner’s Guide to Eigenvectors, PCA, Covariance and Entropy Content: Linear Transformations Principal Component Analysis (PCA) Covariance Matrix Change of Basis Entropy & Information Gain Resources This post introduces eigenvectors and their rela…

sklearn实战-乳腺癌细胞数据挖掘(博客主亲自录制视频教程) https://study.163.com/course/introduction.htm?courseId=1005269003&utm_campaign=commission&utm_source=cp-400000000398149&utm_medium=share https://en.wikipedia.org/wiki/Omnibus_test Omnibus tests are a kind of st…

sklearn实战-乳腺癌细胞数据挖掘 https://study.163.com/course/introduction.htm?courseId=1005269003&utm_campaign=commission&utm_source=cp-400000000398149&utm_medium=share PDF文档 https://wenku.baidu.com/view/1ad38cacc850ad02df80415d.html python风控评分卡建模和风控常识 ht…

我理解PCA应该分为2个过程:1.求出降维矩阵:2.利用得到的降维矩阵,对数据/特征做降维. 这里分成了两篇博客,来做总结. http://matlabdatamining.blogspot.com/2010/02/principal-components-analysis.html 英文Principal Components Analysis的博客,这种思路挺好,但是有2处写错了,下面有标注. http://www.cnblogs.com/denny402/p/4020831.html 这个…

What is an eigenvector of a covariance matrix? One of the most intuitive explanations of eigenvectors of a covariance matrix is that they are the directions in which the data varies the most. (More precisely, the first eigenvector is the direction in…

A tutorial on Principal Components Analysis 原著:Lindsay I Smith, A tutorial on Principal Components Analysis, February 26, 2002. 翻译:houchaoqun.时间:2017/01/18.出处:http://blog.csdn.net/houchaoqun_xmu  |  http://blog.csdn.net/Houchaoqun_XMU/article/details…

Ref: http://scikit-learn.org/stable/modules/lda_qda.html Ref: http://bluewhale.cc/2016-04-10/linear-discriminant-analysis.html Ref: http://blog.csdn.net/lizhe_dashuju/article/details/50329663 [该系列,作者很用心,讲得很通透] 线性判别分析(Linear Discriminant Analysis)简称LD…

Variational Capsules for Image Analysis and Synthesis  2018-07-16 16:54:36 Paper: https://arxiv.org/pdf/1807.04099.pdf 随着深度学习的崛起,已经有很多不同的应用领域都取得了巨大的成功,其中就包括:image analysis 以及 synthesis. Image analysis 通常是指:用一个判别性模型从图像中去抽取信息: Image synthesis 是指:用产生式模型…

最近在猛撸<R in nutshell>这本课,统计部分涉及的第一个分析数据的方法便是PCA!因此,今天打算好好梳理一下,涉及主城分析法的理论以及R实现!come on…gogogo… 首先说一个题外话,记得TED上有一期,一个叫Simon Sinek的年轻人提出了一个全新的Why-How-What黄金圈理论(三个同心圆,最里面的一个是Why,中间一层是How,最外面一层是What:一般人的思维习惯是从里面的圆逐渐推到外面,而创造了伟大作品.引领了伟大运动的人们,其思维习惯则恰恰相反,逆向思维…