搜索资源列表
极大似然法
- 主要用于分类器的设计 来区别数据的相关性(Mainly used for the design of the classifier to distinguish the relevance of the data)
LDAfenlei
- 此程序主要用来对iris数据集进行分类，主要训练二分类器。(This program is mainly used to classify iris data sets)
Baysian+Gaussian
- 用matlab实现输入数据的两分类，里面有三个文件，其中两个是被调用函数(Two categories of input data implemented by MATLAB)
单层神经网络矩阵改进
- 基于Matlab编程，实现人工神经网络对经典三种鸢尾花数据的分类，利用Matlab矩阵运算的优势，对全部样本进行同时训练，具有很好的输出结果(An Artificial Neuron Network which accomplishes classifying three kinds of flower)
SharpClassifier_Adult-master
- 利用朴素贝叶斯分类方法将UCI的adult数据集进行分类(The adult dataset of UCI was classified by the naive bayesian classification method)
分类器比较
- 支持向量机，线性判别分析，回归树，主成分判别分析，分类回归树，K临近算法(SVMLinear discriminant analysis, regression tree, principal component discriminant analysis, classification regression tree, K proximity algorithm)
kernelbase
- 该代码实现分类器的分类，测试效果很好，值得一看(Classifier classification)
新建文件夹
- 一个简单的分类器-KNN，可以很好地达到将几种属性分离开来。(A simple classifier, is a good way to achieve split several attributes.)
logistic
- 用于模式识别中分类器的实现，罗杰斯特回归的实现 ，有数据实例，能够观察到分类结果和收敛曲线(logistics regression)
id3决策树——new
- 这是一个ID3决策树分类的代码用于分类器的计算，大家下载类以后可以学习使用，ID3是一种比较古老的决策树，最新的有C4.5等(This is an ID3 decision tree classification code for classifier calculation, which can be used after downloading the class. ID3 is a relatively ancient decision tree, with the latest C4.5
资源管理器
- 支持多文件管理和目录管理的资源管理器，VB源码编写，支持拖拽和分类管理目录与文件(Resource manager supporting multi file management and directory management)
Perceptron
- 用MATLAB实现简单的分类器分类，对线性的点进行简单的分类。(Using MATLAB to achieve a simple classifier,Simple classification of linear points)
Rosenblatt_Perceptron
- 用MATLAB实现一个简单的分类器，对线性的点进行简单的分类。(Using MATLAB to implement a simple classifier, a simple classification of linear points.)
Adaboost
- 用MATLAB实现Adaboost分类算法，只是一个简单的功能(Using MATLAB to implement Adaboost classification algorithm, it is just a simple function)
单层感知器
- 基于深度学习实现单层感知器的python代码，用单层感知器处理非线性分类问题,观察结果。(The Python code of single layer perceptron is realized based on depth learning, and the nonlinear classification problem is processed with a single layer perceptron, and the results are observed.)
感知器算法Matlab源码
- 感知器算法Matlab源码。用于解决感知器分类的问题(Perceptron algorithm Matlab source code)
NMF
- 使用NMF和KNN分类器实现对高维图像的降维处理(use NMF and KNN for high dimensional image)
fenlei
- 首先进行样本截取，然后构建最短距离分类器进行分类(intercept samples, then build the shortest distance classifier to classify.)
iris
- 取Iris-setosa前40组数据的前两列和Iris-versicolor的前40组数据的前两列作为训练样本。即训练样本共有两类，每类40组数据，每组数据由两个属性值。进行分类训练(Take the first two columns of the first 40 sets of data and the first two sets of the first 40 groups of Iris-setosa as the training samples of the first 40 s
NB
- 编写朴素贝叶斯分类器，对测试集进行分类预测，并计算分类精度(The naive Bias classifier is compiled, and the test set is classified and predicted, and the classification accuracy is calculated)