搜索资源列表
Regression_SVM_SteveGunn
- 基于SVM的分类器 支持两类分类 和多类分类 选择最优参数-Select the optimal parameters of the classifier based on SVM supports two types of classification and multi-class classification
Bayes
- 贝叶斯分类器matlab代码,主要利用naive bayes分类器的思想利用后验概率进行分类。-Bayesian classifier matlab code, after the main use of naive bayes classifier utilizing the posterior probability ideological classification.
BN_inference
- 本程序是用作贝叶斯推论的,训练好分类器,用于计算联合概率密度实现推理-This procedure is used for Bayesian inference, well trained classifier is used to calculate the joint probability density to achieve reasoning
sjwj
- 利用数据挖掘分类器的原理对从UCI数据库中下载的心脏病数据集进行分类-The principles of data mining classifier downloaded UCI dataset heart disease classification
sm113
- 自己编译了一个分类器,可以对数据进行处理,与其他M文件共同使用,方便快捷 -To compile a classifier, the data can be processed together with other M-files, convenient
RandomForest_matlab
- 随机森林是一个包含多个决策树的分类器, 并且其输出的类别是由个别树输出的类别的众数而定-Random Forest is a decision tree classifier comprising a plurality, and its output is the category number by individual trees all output categories may be
EnsembleLearning-
- 粗糙集随机属性约减集合邻域覆盖约减,是一种集成学习分类器。-rough set。ensemble method
Klassifikator
- 这是一个用于诊断故障的贝叶斯分类器,简单易用-bayes classification
self-taught-learning
- 自主学习把稀疏自编码器和分类器实现结合。先通过稀疏自编码对无标签的5-9的手写体进行训练得到最优参数,然后通过前向传播,得到训练集和测试集的特征,通过0-4有标签训练集训练出softmax模型,然后输入测试集到分类模型实现分类。-Independent Learning the encoder and the sparse classifiers achieve the combination. First through sparse coding since no label was ha
ex1
- 贝叶斯方法一篇比较科普的中文介绍可以见pongba的平凡而神奇的贝叶斯方法: http://mindhacks.cn/2008/09/21/the-magical-bayesian-method/,实际实现一个贝叶斯分类器之后再回头看这篇文章,感觉就很不一样。 在模式识别的实际应用中,贝叶斯方法绝非就是post正比于prior*likelihood这个公式这么简单,一般而言我们都会用正态分布拟合likelihood来实现。-pattern identification
onlinesvm
- 用c编译的online svm适合大数据快速学习的分类器,对内存要求较低,适合数据量大的数据。-C compiled with online svm suitable for large data quickly learning classifiers, low memory requirements for large amount of data.
NaiveBayes
- python实现的朴素贝叶斯分类器,以及垃圾邮件分类的一个应用,包括处理的数据- python implement Naive Bayes classifier, and an application spam classifications, including data processing
cluster
- 聚类算法,包括特征提取 归一化,还有线性和非线性分类器,matlab下调试成功案例-clustering classification algorithm ,it include linear and nonlinear classifier and data preprocessing
BP_Classifier
- 用MATLAB实现的简单分类器,算法为BP神经网络,为监督学习,需要训练集(文件中附有训练集,供测试用),分类效果较好。-This program creates a Classifier to identify the gender by height and weight based on BP network.
KNN_Classifier
- 用MATLAB实现的分类器,算法为KNN,分类效果较好。文件中提供了相关的测试集。-MATLAB classifier, the algorithm for KNN, classification effect is better File to provide the related test set
Nonlinear-classifier
- 非线性分类器,包括ANN-BP算法的matlab代码实现和性能分析,以及近邻法的实现-Non-linear classifiers, including ANN-BP algorithm matlab code and performance analysis, and nearest neighbor methods to achieve
KNN
- 实现一个knn 分类器。 使用欧氏距离作为度量距离 使用’my_order.m’函数脚本获得某个点最近的K 个邻居 使用’my_classify.m’函数脚本获得点的类型。 给定参数k,就可以调用这两个函数完成knn 分类器功能。 -Achieve a knn classifier. Using Euclidean distance as a measure of distance using the my_order.m function scr ipt to ge
Binary-Classification
- 此程序是实现二元分类器,为在统计学习中最基本的程序。-This program is a binary classifier for statistical learning the most basic procedures.
fisher_classify
- MATLAB版本的LDA线性分类器,具体包括计算类内离散度矩阵,类间离散度矩阵,以及训练集各类在新坐标轴上的投影。代码原来用于肌电特征的分类,亦可用于其他机器学习案例-the LDA classifier wrote in MATLAB
classify
- 用大数据来训练一个朴素贝叶斯分类器,并且在分类器中加入α=1的拉普拉斯平滑。-Use the data given in table to train a naive Bayes classifier and test it.Add Laplace smoothing into the classifier with α=1,and test angin.