搜索资源列表
LDA
- 使用matlab实现的LDA(线性判别分析)分类器,以及PCA的实现-Implemented using matlab LDA (linear discriminant analysis) classifier, and the implementation of PCA
N-gram
- 在分析了传统的分类模型后 ,文中提出了用N元语言模型作为中文文本分类模型。根据该方法 ,设计并实现一个基于词的2元语言模型分类器。-After the review of traditional text classi fication models , a method using N2gram language models to classi fy Chinese text was presented. With the bi2gram model, a text classi fie
naiveBayesClassify
- 机器学习算法,朴素贝叶斯分类器,常用作文本分类,或者用在本体匹配算法中用作相似度的计算-Machine learning algorithm, naive bayes classifier, commonly used ZuoWenBen classification, or use in ontology matching algorithm used in the calculation of similarity degree
BayesClassifier
- 自己做的贝叶斯分类器,包括基本贝叶斯,最小风险贝叶斯以及Neyman-Pearson决策-Do bayes classifier, including basic bayesian, the minimum risk bayesian and Neyman-Pearson decisions
mysvm.rar
- 这个代码是用lib-svm来实现svm分类器的,简单易懂,并且有详细的注释,对于刚刚接触SVM的初学者有很大的帮助,一看就能上手,我也是新手,所以应该还是很有帮助的。,This code is used to achieve lib-svm classifier svm, easy-to-read, and detailed notes, just contact SVM for the great help for beginners, a look will be able to start
HK.rar
- H-K(Ho-Kashyap)算法。在模式识别应用中运用HK算法根据样本进行分类器训练。,HK (Ho-Kashyap) algorithm. Applications in pattern recognition algorithm based on the use of HK classifier training samples.
BayesClassifier.rar
- 贝叶斯分类算法,构造朴素贝叶斯分类器,对给定的中文文本进行分类,Bayesian classification algorithm, Naive Bayes classifier structure of a given Chinese text classification
Games
- Bayes分类器——算法设计 1. 使用决策树(Decision tree)分类算法、朴素贝叶斯(Naï ve Bayes)算法或者K-近邻(kNN)算法(三者任选其一)对给定的训练数据集构造分类器,并在测试数据集上进行分类预测。 2. 数据集描述: Tic-tac-toe游戏的二叉分类。Tic-tac-toe游戏示例如下-Bayes classifier- Algorithm 1. Using the decision tree (Decision tree) classi
haarcascade_frontalface_alt2
- 前脸训练器,能很好的进行分类,适用于人脸检测-foreface train
958346svmlight
- 支持向量机分类器 训练器 可以直接使用 C++语言实现 SVMLight-Support Vector Machine classifier training can direct the use of C++ language SVMLight
Fisher_example
- Fisher线性判别分类器应用于IRIS数据集的例子-An example of Fisher linear discriminant Classifier applied on IRIS Data Set
Bayers
- 用matlab编写的贝叶斯分类器算法程序,共两个文件,经验证算法有效,希望对使用者有帮助-Matlab prepared bayes classification algorithm procedures, a total of two files, experience card is efficient, hope to help users。
bayes_total
- 最小错误概率贝叶斯分类器的matlab程序,可用于二维数据的分类以及分类效果的图像显示,可帮助初学者加深对贝叶斯分类算法的理解。-This is a matlab program of the minimum probability of error of Bayesian classifier.Which can display the image of two-dimensional data classification and the classification results . I
KNN_Classifier
- 仿真实现了KNN分类器的的一个功能,具有较好的分类效果。-Simulation of the KNN classifier of a function, with better classification results
code
- 多种分类器的代码,代码非常好,希望大家能下载,因为这里面涵盖了haar,adaboost,treelearner,singlestumplearner,constantlearner很多学习方法-Multiple classification code, the code is very good, I hope you can download, as this which covers the haar, adaboost, treelearner, singlestumplearner,
fisher
- 基于Fisher准则线性分类器设计,理解Fisher准则方法确定最佳线性分界面方法的原理,以及Lagrande乘子求解的原理。-Based on Fisher linear classifier design guidelines, understanding the criteria Fisher method to determine the best linear method of the principle of the interface, as well as solving La
code
- 此为数据挖掘课程大作业,主要功能是对已给定的描述生物分子三维结构的139351 个属性中,分类预测出该分子化合物对目标体的化学活性,从而达到帮助药物设计的目的。实验现有的数据包括:110个已标记活性标签的描述分子三维结构的139351维数据,634 个为标记活性标签的三维结构数据。希望根据这些提供的数据,采用适当的分类方法,提供出一个经过训练的分类器,能够尽可能准确的帮助未标记活性的分子化合物确定其活性。-This is a big job data mining courses, the ma
farutoUltimateVersion2[1].0
- SVM神经网络中的参数优化---如何更好的提升分类器的性能 -This tool provides a simple interface to LIBSVM, a library for support vector machines (http://www.csie.ntu.edu.tw/~cjlin/libsvm). It is very easy to use as the usage and the way of specifying parameters are the s
AdaBoost
- 采用C语言实现的Adaboost算法,一个很经典的分类器算法-Using C language of the Adaboost algorithm, a classic Classifier
123
- 基于Fisher算法的飞思卡尔智能车 路径识别分类器的设计 -YOU CAN HAVE AN EXANPLE