搜索资源列表
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)
RandomForest
- 随机森林分类器算法的应用，包含分类例子和回归例子(Random forest algorithm 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)
hog_svm
- 这文件夹包含了，hog特征提取，多类SVM分类器，数据库，图像识别(This folder contains the hog feature extraction, multi class SVM classifier, database, image recognition)
BP网络图像分类
- 识别图像中道路，建筑，基于BP神经网络，里面有图片(Identify roads, buildings, etc in images)
MLkNN
- ML-KNN，这是来自传统的K-近邻（KNN）算法。详细地，为每一个看不见的实例中，首先确定了训练集中的k近邻。之后，基于从标签集获得的统计信息。这些相邻的实例，即属于每个可能类的相邻实例的数量，最大后验（MAP）原理。用于确定不可见实例的标签集。三种不同现实世界中多标签学习问题的实验研究，即酵母基因功能分析、自然场景分类和网页自动分类，表明ML-KNN实现了卓越的性能(ML-KNN which is derived from the traditional K-nearest neighbo
simca
- 主成分分析的一种分类方法，用于模式识别。输入参数自己设定。(A classification method for principal component analysis. Used in pattern recognition.)
chapter1
- BP神经网络的数据分类——语音特征信号分类(Data classification of BP neural networks -- Classification of speech characteristic signals)
libsvm-3.20
- 根据训练数据，使用SVMlib 学习TrainLetter.txt的linear SVM models, 进而预测测试数据TestLetter.txt的分类结果(According to the training data, the TrainLetter.txt linear SVM models is learned by using SVMlib, and then the classification results of the test data TestLetter.txt are
SVM
- MATLAB神经网络43个案例分析 第13个案例的源代码及数据集(MATLAB neural network 43 case analysis, thirteenth cases of the source code and data set)
412700
- BP神经网络主要用于函数拟合与模式分类Matlab的示例程序(BP neural network is mainly used for function fitting and pattern classification example of Matlab program)
rough_set
- 对图像特征进行属性约简，找到最适合分类的特征。(Attribute reduction of image features, to find the most suitable features of classification)
ELM
- 用于使用极限学习机算法进行分类问题,采用MATLAB编写，适合论文写作(Classification algorithms are used for the use of the extreme learning machine algorithm)
k-means
- k均值，数据已经有了，主要用于分类，美列都是一类数据，只用了其中一部分，数据是自己编的。(K mean, data already exists, mainly for classification, the United States column is a kind of data, only a part of the data is their own series.)
bpclass
- 基于bp神经网络，实现神经网络的分类处理的的程序，通过训练样本实现分类(BP neural network based on neural network classification processing procedures, through training samples to achieve classification)
binclass_perc_4_5
- 结合书上的例子写的二分类非循环版/循环版以及简单神经网络实现(Two examples of non circular / cyclic versions and simple neural networks are written in conjunction with examples in the book)
VRLT
- 极坐标,对数极坐标变换及其反变换分类matlab与图像处理(Polar logarithmic coordinates transformation and its inverse transform classification with matlab image processing)
Fisher
- 聚类分析法来研究一系列相关数据间的关系，从而确定分类数(Clustering method to study the relationship between a series of related data, so as to determine the number of categories)
BPDLX
- 基于matlab的bp神经网络学习算法用于数据的分类--主要针对语音信号进行分类。本案例中选举了民歌、古筝、摇滚和流行音乐四类不同类型，用bp神经网络实现对这四类音乐的有效分类(Based on matlab bp neural network learning algorithm for data classification - mainly for voice signal classification. In this case, four different types of folk
fenleiyuce
- matlab关于概率神经网络的分类预测应用程序(Matlab classification prediction applications on Probabilistic Neural Networks)