线性回归算法&项目 [英] Linear regression algorythms & project

问题描述

如果有人知道我将在哪里获得线性回归和数据挖掘程序的算法。我必须找出购物分析中存在的周期性，我必须找出时间周期中的错误ig。购买一件商品大约需要多少天购买。我必须找到线性方程式

y = ax + b。

f（x）=（24-x）/ 18 *（sin（x）+1.5）。

g（x）= f（x）/（ax + b）。

循环模型分析项目顺序模式。（购物项目），如果你知道任何链接，请给我。

解决方案

谷歌是你的朋友：http://www.google.co.uk/search?sourceid=chrome&ie=UTF -8& q =算法+用于+线性+回归 [ ^ ]



学会使用它：它快得多而不是问一个问题。



或者，查看任何统计书，你会发现一步一步概述的过程。

通常最小二乘方法 http://en.wikipedia.org/wiki/Least_squares [ ^ ]足以进行线性回归。

成员7685573s写道：

f（x）=（24-x）/ 18 *（sin（x）+1.5 ）。

g（x）= f（x）/（ax + b）。

上述功能的作用是什么？

：）

成本函数：最小二乘法

如果您使用的是mat lab或免费版本的matlab，您可以非常轻松地使用成本函数。只需确保您为测试的每个方差都有一个瞬时的状态函数。如果你不想破坏所有东西，你也可以使用正常功能。

If anyone knows where i will get algorithms for linear regression & programs on data mining. I have to find out periodicity existing in shopping analysis & i have to find out error in periodicity of time ig. after purchasing one item approximately how many days another item got purchased.I have to find linear equation
y=ax+b.
f(x)=(24-x)/18*(sin(x)+1.5).
g(x)=f(x)/(ax+b).
It is a project of Cyclic model analysis on sequential patterns.(shopping project)if any link you know please give me.

解决方案

Google is your friend: http://www.google.co.uk/search?sourceid=chrome&ie=UTF-8&q=algorithms+for+linear+regression[^]

Learn to use it: it is a lot quicker than asking a question.

Alternatively, look in any statistics book, and you will find the process outlined step-by-step.

Usually the method of least squares http://en.wikipedia.org/wiki/Least_squares[^] is good enough for linear regression.

Member 7685573s wrote:

f(x)=(24-x)/18*(sin(x)+1.5).
g(x)=f(x)/(ax+b).

What's the role of the above functions?
:)

Cost function: least squares
If you are using mat lab or a free version of matlab, you can utilize the cost function quite easily. Just make sure you have an instantaneous upstate for your function for every variance you test. You could also use the "normal function" if you don’t want to hard crack everything.

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