搜索资源列表
knn
- KNN 利用VC实现的贝叶斯分类器的源代码，可以用来分类或识别，很值得收藏
sfam
- 该程序实现了简单的模糊ARTMAP神经网络算法。SFAM是神经网络分类器，它是简单和快速的模糊ARTMAP版本。-The program implements a simple fuzzy ARTMAP neural network algorithm. SFAM is a neural network classifier, which is simple and fast version of fuzzy ARTMAP.
kNearestNeighbors
- 一个简单实用的K紧邻分类器 -KNN
bayes
- 贝叶斯文本分类器文档贝叶斯文本分类器文档-Bayesian text classifier Bayes Text Classifier Document Document
bayes_numeric
- 利用matlab实现的数值型贝叶斯分类器的源代码，可以用来分类或识别，很值得收藏-Using matlab to achieve numerical Bayesian classifier source code can be used to classification or identification, it is worthy of collection
NBC
- 用C#编的朴素贝叶斯分类器。希望大家能用得上-A Naive Bayesian Classifier in C#
BP_Adaboost5
- 基于 BP_Adaboost 强分类器设计 公司财务预警 建模-Classifier design based on BP_Adaboost strong financial early warning model
fisher
- 用fisher分类器实现简单的分类，首先进行样本的训练，然后对待测样本进行测试，程序中画出了分界面。-Fisher classifier with a simple classification, first of all to the training sample, then treatment of test samples for testing, the interface of the program are drawn.
lms
- 用lms分类器实现了比较准确的分类，同时给出了实验的结果。运行正确，直接调用程序即可。-Lms classifier achieved with the more accurate the classification of the experimental results are given. Running correctly, you can directly call the procedure.
lsvm
- 用线性支持向量机，lsvm分类器实现分类，同时给出了实验结果。还画出了支持向量。-Support vector machines with linear, lsvm classifier achieved classification, while the experimental results. Also drawn the support vector.
Classifier
- 本程序完成的功能是模式识别中的两类线性分类器-Test Report on Two-category Classifier
bayes
- 贝叶斯分类器的设计与实现，非常好的应用程序，能够在其上面实现人脸识别-Bayesian classifier design and implementation of a very good application, face recognition can be achieved in the above
linear
- 实现了各种线性分类器，对初学者非常有用的代码。-To achieve a variety of linear classifier, the code is very useful for beginners.
NBClassify
- 人工智能。基于朴素贝叶斯的文本分类器，测试正确率较高。-Artificial intelligence. Naive Bayes text classification based on, test accuracy is higher.
bpnetwork
- 基于MATLAB开发语言的神经网络分类器算法，源代码，改进算法，不包含数据-Based on MATLAB language development neural network classifier algorithm, the source code, the improved algorithm, does not contain data
SVM13
- SVM神经网络中的参数优化---提升分类器性能 -SVM parameters optimization of neural network classifiers to enhance the performance---
prtools
- SVDD（无监督）分类器中所用到的程序集-SVDD classifier used in the assembly
knn_toy
- 这是一个K近邻分类器，手动编写的一个较为简单的实现。(K nearest neighbor classifier)
kernelBP_chol
- 针对图像的基于核置信传播的分类器，具有收敛速度快，精度高的优点。(This is a sample code for Kernel Belief Propagation Classifier for images.)
随机森林分类器
- 对提取好的n维特征，实现随机森林分类器分类。(For the extraction of good characteristics, the realization of random forest classification)