搜索资源列表
iriscloud
- 云分类器，一种基于云模型理论的分类程序。程序中使用云分类器对Iris数据集进行了测试-cloud classifier, a theoretical model based on cloud classification procedure. Procedures used for cloud classification of Iris data set for testing
属性相似度的云分类器
- matlab环境下，基于云模型的分类器，包括基于例子群优化的云分类器，和属性相似度云分类器。-Matlab environment, based on cloud model for the classification, including examples Swarm Optimization Based on the cloud classifier, and attribute similarity cloud classifier.
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
ChainCascade_src
- ChainCascade， harr 特征进行分类器训练，得到一个级联的boosted分类器，训练目标特征，检测物体，这是从opencv库 转化成 vc++源代码，有一位博士完成，很不错。-ChainCascade, Harr features classifier training to be a cascade boosted classifier, training objectives features, object detection, which is OpenCV library
MITEx人脸库
- 这是MIT人脸库，包括两组，一组人脸库，一组非人脸库，可以用分类器训练，然后用人脸识别程序识别，可以不用购买人脸库了。。。不错的-Face arsenal, including two groups, one group of people to face basement, a group inhuman face, you can use the classifier training, and then use face recognition procedures for identif
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
scsc-0.99j
- SCS-C is another port to C of Goldberg s Simple Classifier System, with a few extensions.-SCS-C is another port to C of Goldberg s Simple Classifier System, with a few extensions.
cusvm
- CU SVM Classifier Matlab Toolbox
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.
mudie
- 模式识别的分类器设计 内含４个分类器 按照要求可以生成分类器 并可以对分类器进行检验-pattern recognition classifier design includes four classifier can be generated in accordance with the requirements for classification and the classification can be tested for
classifier-1.12
- 能对从Google中搜索出来的文本进行聚类,提供了Java包,及调用源代码.-can right from the Google Search for the text clustering, a Java package, source code and call.
Quadratic classifier，matlab
- 针对二维三类问题 ，画出三类的类条件概率曲面，及投影到二维空间的同概率轨迹及决策曲线。 Suppose a 2-Dimension 3-Class problem. Please plot the class conditional probability surface, and the loci of constant probability, as well as decision boundaries which project into two dimensional feature
LEAD
- This toolbox contains programs for the multi-label classifier which explicitly exploits label dependency with Bayesian network structure.
adboost classifier
- aboost分类器的matlab实现，可解决样本的分类问题(The matlab implementation of aboost classifier can solve the problem of sample classification.)
1 Bayes Classifier code
- bayesian Classifer simple test useless
CarND-Traffic-Sign-Classifier-Project-master
- CarND-Traffic-Sign-Classifier(traffic-Sign-Classifier---TEST)
K-Nearest Neighbor Classifier
- 调用于sklearn平台的K-Nearest Neighbor Classifier算法，有着较好的分类能力(The k-nearest Neighbor Classifier algorithm for sklearn platform has good classification ability.)
classifier
- 一些分类器尝试，包括SVM，KNN，自带树与adaboost或者bagging结合等。(Some classifiers test,such as SVM,KNN,etc, including test data. Only some of the methods are included in the main.m.)
nichingparticle-swarm-optimization
- 粒子群优化算起源于对鸟群、鱼群以及对某些社会行为的模拟，是一种基于群体智能的进化计算技术。而小生境技术则起源于遗传算法，这种方法能使基于群体的随机优化算法形成物种，从而使相应的优化算法具有发现多个最优解的能力。而多分类器集成技术则是通过多个分类器进行某种组合来决定最终的分类，以取得比单个分类器更好的性能。多分类器集成技术要求基元分类器不仅个体性能要好并且其差异度要大，这与小生境技术形成物种的能力具有很多内在的相似性。目前己经有研究者将小生境技术应用于多分类器集成，但由于传统的小生境技术仍然不完善