搜索资源列表
mtba
- 二维聚类 该代码可以方便的实现二维聚类，而不需自己再查阅大量文献编写。-Matlab Toolbox for Biclustering Analysis Biclustering is a popular approach to analyze patterns in a dataset, especially those of biological origin such as gene expression data
NN
- implementation of feed forward neural network for classification. using dataset UCI machine learning pima-diabetes-implementation of feed forward neural network for classification. using dataset UCI machine learning pima-diabetes
hdfreadhead
- 读hdf属性 文件头 保存到txt文件 可以得到Dataset Attribute & Globle Attribute-Read hdf attribute header files can be saved to the txt Dataset Attribute & Globle Attribute
neural-network
- 深度学习python实现，并附有MNIST上的测试程序，准确率98 以上-Deep learning learns low and high-level features large amounts of unlabeled data, improving classification on different, labeled, datasets. Deep learning can achieve an accuracy of 98 on the MNIST dataset.
apriori
- Apriori algorithm是关联规则里一项基本算法。是由Rakesh Agrawal和Ramakrishnan Srikant两位博士在1994年提出的关联规则挖掘算法。关联规则的目的就是在一个数据集中找出项与项之间的关系。 文件中为实现Apriori算法的matlab函数-Apriori algorithm in association rules is a basic algorithm. By Rakesh Agrawal and Ramakrishnan Srikant Dr
OR_lectures
- age. However, GAUSS is not appropriate for, say, writing a menu system a general-purpose language is probably easier. Nor is GAUSS appropriate for standard applications on standard datasets. There is little point in writing a probit estimation ro
ridge
- 这段代码可以实现机器学习中的岭回归。自行添加高斯噪声后对每个数据集的七阶多项式用不同的值λ进行岭回归-Perform ridge regression on each dataset with 7th order polynomial with different value λ.Add Gaussian noise.
VBEMGMM
- 变分贝叶斯高斯过程混合模型源码，主要基于pattern recognition and machine learning 这本书。-22 Oct 2008 gmmVBEM.m is the main file for VBEM Main file needs MyEllipse.m for plotting Netlab gmmem for initialization Following example file illustrates the usa
statMain
- 计算数据集中的变量的基本情况，离散值统计各数据值的分布，连续值统计均值和标准差-Basic information calculated dataset variables, discrete values of statistical distribution of the data values, continuous statistics mean and standard deviation values
BP_for_classify
- 一个BP神经网络解决分类问题，数据集是Iris数据集-Here is a bp ANN for classify,the dataset used is the Iris dataset
mithib_cap_read
- MIT-HIB 数据库中的CAP数据集读取，也可以用在其它数据集，里面调用的基本函数是开源的，请自行下载。-CAP dataset analysis in MIT-HIB by manual
GA-tsp
- 利用遗传算法解决旅行商问题，文件里面包含数据集为各城市的坐标-Genetic algorithm to solve the traveling salesman problem, the file which contains the coordinates of each dataset city
SVMPKNN
- 自己编写的一个分类小程序，实现了SVM和KNN算法，附件带有UCI数据集中的一些测试数据。-I have written a small program classification, to achieve the SVM and KNN algorithm, the attachment with some test data UCI dataset.
input_data
- 机器学习领域中常用的数据集MNIST的下载代码-Commonly used in the field of machine learning dataset MNIST download code
perceptron
- 自己编写的用感知器算法分类UCI数据集中的iris数据集-UCI classification by perception algorithm dataset iris data set
addcurvetype
- Add curve to dataset
LBP-DBN-face-recognition-master
- 人脸识别，提出LBP和DBN方法的人脸识别算法，数据集是ORL人脸数据集。-Face recognition, face recognition algorithm LBP and DBN proposed method, the data set is ORL face dataset.
deeplearning_facerecognition
- 人脸识别，使用深度学习中的DBN算法进行人脸识别算法，数据集是ORL人脸数据集。-FACE Recognition, using the depth learning DBN algorithm recognition algorithm, the data set is a ORL face dataset.
cube.m
- Simulation of applying a dataset of cubic form to an SVM of radial basis kernel, quadratic kernel and cubic kernel.
quadratic.m
- Simulation/visual plots of a quadratic dataset applied to an SVM having three kernel functions i.e. radial basis, quadratic and cubic kernel functions.