搜索资源列表
winsvm
- 支持向量机分类器(可分类文本,编的非常不错)-The uploaded Support Vector Machine (SVM) Classifier can classify text-type data well.
Classifier4J
- Classifier4J这个Java类库为文本自动分类提供了一个API。缺省(目前)实现的API是一个贝叶斯分类器。这个类库可以用于多个目的-可能作为一个垃圾邮件过滤器或一个blog-Classifier4J Java class library for the automatic text classification provided an API. Default (current) to achieve the API is a Bayesian classifier. This lib
聚类程序
- 图像模式识别的聚类器设计,采用VC++实现,和分类器设计相对应。-the designation of image pattern recognation,VC++ is adopted, along with the sort ware designation
matlab作业
- 模式识别一份很好的作业,包括线性分类器;最小风险贝叶斯分类器;监督学习法分层聚类分析;K-L变换提取有效特征,支持向量机-a very good operation, including linear classification; Minimum risk Bayesian classifier; Supervised learning method Hierarchical clustering analysis; K-L transform effective features, supp
assignt
- duda的模式分类作业源代码,第二章上机练习第2题。2类问题的分类器设计。c语言编程。-duda the pattern classification operations source code, the second chapter on the first two aircraft that practice. Two categories of classified design. C programming language.
MATLABArsenal
- 一个matlab的工具包,里面包括一些分类器 例如 KNN KMEAN SVM NETLAB 等等有很多.-a Matlab tool kits, including some inside classifier for example KNN KMEAN SVM NETLAB etc. plenty.
广义异或集成神经网络算法
- 本程序用C语言实现了集成神经网络解决广义异或问题。用神经网络集成方法做成表决网,可克服初始权值的影响,对神经网络分类器来说:假设有N个独立的子网,采用绝对多数投票法,再假设每个子网以1-p的概率给出正确结果,且网络之间的错误不相关,则表决系统发生错误的概率为 Perr = ( ) pk(1-p)N-k 当p<1/2时 Perr 随N增大而单调递减. 在工程化设计中,先设计并训练数目较多的子网,然后从中选取少量最佳子网形成表决系统,可以达到任意高的泛化能力。 -this pro
TextCategorization
- 基于朴素贝叶斯算法实现的中文文本分类程序。可以对中文文本进行分类识别,使用时先对分类器进行训练,然后进行识别。该Beta版本仅支持对3类文本进行分类,使用简单的中文分词方法,本程序尚不具备实用性,用于算法研究和改进。-based on Bayesian algorithms to achieve the Chinese text classification procedure. Can the Chinese text classification identification, the us
scm-jmlr
- 一篇关于SCM的综述性文章,SCM是一种比SVM分类性能更优秀的分类器。以后还会上传几篇有关SCM的文章-on SCM's a review article, SCM than SVM is a better classification performance classifier. After a few will upload the articles SCM
ganzhiqi_s200502106
- 模式识别-基于感知函数准则的线性分类器设计,完全自编代码,有详细说明。-pattern recognition-based perceptual function criteria for the classification of linear design, completely writing code is described in detail.
pereceptron
- 感知器算法分类器,感知器是一种双层神经网络模型,一层为输入层,另一层具有计算单元,可以通过监督学习建立模式判别的能力-Perceptron Algorithm classifier, perceptron neural network model is a double layer of input layer, another layer with a calculation unit, you can determine by monitoring the ability of learni
test
- 基于朴素贝叶斯的文本分类器,使用Visual C# 2005编写-the text-based Naive Bayesian classifier
svmfenleiqiyuanli
- svm分类器原理详细描述,值得一看,希望对你有帮助-svm classification theory described in detail, worth a visit, I hope to help you
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)
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)
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.)
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)
BP_Adaboost
- 基于BP-Adaboost的强分类器设计(Design of strong classifier based on BP-Adaboost)
kNN
- knn分类器, 机器学习实战第二章代码,k最近邻分类,适用于低维数据的分类器(classifier (KNN algorithm))
螃蟹分类matlab
- 螃蟹分类 %在演示中,试图建立一个分类器,根据它的物理测量识别螃蟹的性别。 %螃蟹的六物理特性:品种,前腿宽,后腿宽,长,宽,深度。 %问题是根据给定的观测值识别每个螃蟹的性别。 %在演示中,试图建立一个分类器,根据它的物理测量识别螃蟹的性别。 %螃蟹的六物理特性:品种,前腿宽,后腿宽,长,宽,深度。 %问题是根据给定的观测值识别每个螃蟹的性别。