资源列表
matrix-factorial
- 要求完成课堂上讲的关于矩阵分解的LU、QR（Gram-Schmidt）、Orthogonal Reduction (Householder reduction 和Givens reduction)程序实现，要求如下： 1、一个综合程序，根据选择参数的不同，实现不同的矩阵分解； 2、可以用matlab等编写程序，需附上简单的程序说明，比如参数代表什么意思，输入什么，输出什么等等； 3、一定是可执行文件，不能是word或者txt文档。附上源代码，不能为直接调用matlab等函数库
EMD
- 经验模态分解法(EMD)，算法不长，随便改吧-method of EMD
CG
- MATLAB版本的CG（共轭梯度算法），用于求解大规模矩阵计算（方程组求解等问题）的基础算法-MATLAB version of the CG (conjugate gradient algorithm) for solving large-scale matrix computations (solving equations and problems) based algorithm
curvefitting
- python实现曲线拟合，高斯噪声采样。-curve fitting with Gaussian noise sampling. python.
PCA-Python
- 用Python语言实现PCA(Principle Component Analysis)。-PCA with python.
MOG-python
- 用Python语言实现MOG(Mixture Of Gauss, 高斯混合模型)-implementation of MOG(Mixture Of Gauss) with python.
Batch_fft
- 快速傅里叶变换批处理 快速傅里叶变换批处理 -batch analysis for FFT
plot_cv_predict
- cross_val_predict算法主要应用于可视化预测-use cross_val_predict to visualize prediction errors.
feature_stacker
- feather_stacker主要用于一个数据集提取多个特征时，对特征进行联合的算法。-In many real-world examples, there are many ways to extract features a dataset. Often it is beneficial to combine several methods to obtain good performance. This example shows how to use FeatureUnion to c
plot_digits_pipe
- GridSearchCV用于设置PCA的维度，解决逻辑回归预测时，PCA维度降维问题。-The PCA does an unsupervised dimensionality reduction, while the logistic regression does the prediction. We use a GridSearchCV to set the dimensionality of the PCA
plot_multilabel
- Multilabel是一个分类算法，数据集生成具有一定规则性；规则如下： pick the number of labels: n ~ Poisson(n_labels) n times, choose a class c: c ~ Multinomial(theta) pick the document length: k ~ Poisson(length) k times, choose a word: w ~ Multinomial(theta_c)-This exampl
tompkins
- A base on tompkins Algorithm function of ECG Analysis Algorithm