搜索资源列表
SVMclassification
- 介绍了SVM分类器原理，已经改进的算法，还有改进后的实验结果等等，是一个难得的好资料！ -Introduced the principle of SVM classifier, the algorithm has been improved, as well as improved experimental results, etc., is a rare good information!
KNNVB
- 最短距离法分类器VB实现，包括有详细例程说明-The shortest distance classifier VB to achieve, including a detailed descr iption routines
baysianclassify
- bayes classifier using naive bayes method
Classifier
- 使用SVM分类的方法，通过身高和体重对性别进行识别。-SVM classifer
LinearSVC
- Construct a linear SVM classifier from the training Samples and Labels
K
- K最邻近分类器设计的MATLAB代码，有代码解释-K nearest neighbor classifier design in MATLAB code
rocplot
- ROC curves illustrate performance on a binary classification problem where classification is based on simply thresholding a set of scores at varying levels. Lenient thresholds give high sensitivity but low specificity, strict thresholds give high spe
fuzzy
- fuzzy classifier induction motor failures
BayesClassifier
- A Sample for a Baysian Classifier
naivebayes
- Naive Bayesian Classifier
bayes
- Naive Bayes Classifier for an arff file (Weka file format)
SVM
- 线性支撑矢量机分类器 对模式识别问题中的线性可分问题进行分类-Linear support vector machine classifier pattern recognition problems in the linear separable classification
bayes
- 实现朴素贝叶斯文本分类器，用java实验，还包括readme和训练集-Naive Bayes text classifier to achieve with java experiments, including readme and the training set
Classifier
- 文本分类器，一款根据文本特征，将文本识别为哪一类，如体育文章（不知道的），分类器自动识别为体育类。 -A classifier for files catogery!
Classifier
- 一个半监督数据流集合分类器程序，其中每个单分类器采用k均值聚类算法。-A semi-supervised data flow classifier using k-means clustering algorithm.
Classifier
- C++实现的SVM分类器，代码量稍微大了一点-Achieve C++ SVM classifier, the amount of code become slightly
Bayes-classifier-code
- 朴素贝叶斯分类器程序代码 采用朴素贝叶斯分类器算法，使用C++语言对英文文本进行分类，实现了一个文本分类器功能-Naive Bayesian classifier program code using Bayesian classification algorithm, using C++ language English text classification, to achieve a text classification function
classifier
- 用matlab实现Part1. 实现一个k近邻分类器，Part 2.实现一个最小二乘分类器，Part 3.实现一个支持向量机分类器，Part 4.在不同数据集上使用交叉验证选择各个算法的参数-Part1. Achieve a k-nearest neighbor classifier, Part 2. Achieve a least-squares classifier, Part 3. Implement a support vector machine classifier, Part 4.
classifier
- implementation Support Vector Machine classifier that you can add some training data and refine the model after it is initialized.
linear classifier
- 实现简单的线性分类器，包括图形界面可视化结果(To achieve a simple linear classifier)