搜索资源列表
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.
3AdaBoost
- adaboost分类器源代码，由若干弱分类器进行组合-adaboost classifier source code, a number of weak classifier combination
Classifier4J-0.6-dist
- 可用于文本分类的贝叶斯分类器，java开源项目-can be used for text classification Bayesian classifier, java open source projects
StanfordClassifier.tar
- Standord Classifier实现了一个基于Java的最大熵分类器。用于模式识别，特别是自然语言处理方面的应用。-Stanford Classifier achieved a Java-based Maximum Entropy classifier. For pattern recognition, especially natural language processing the application.
KNNSOURCECODE
- java 实现KNN文件分类器的源码 java 实现KNN文件分类器的源码-java achieve KNN classifier document java achieve the source document KNN classifier of the source code
SegAndPosTools
- 实现语料的分割，和特征值的提取，还有bayes分类器-achieve Corpus segmentation, and eigenvalue extraction, and bayes classifier
LinearDiscriminantClassifier
- LINEAR DISCRIMINANT CLASSIFIER 分类器, 用C语言写的.大家一起参考一下.
源程序及测试数据
- 使用交遇区样本分类器设计的模式识别程序 用C语言编程-use overlapping region samples classifier design pattern recognition procedures using C language programming
hdda_toolbox_1.1
- The High Dimensional Discriminant Analysis (HDDA) toolbox contains an efficient supervised classifier for high-dimensional data. This classifier is based on Gaussian models adapted for high-dimensional data. Reference: C. Bouveyron, S. Girard
GML_AdaBoost_Matlab_Toolbox_0.3
- adaboost是语音识别分类器设计的最好方法，目前在识别分类方面进行了应用-AdaBoost is a voice recognition classifier design the best way, the current classification in identifying aspects of the application
hddc_toolbox_1.0
- The High Dimensional Data Clustering (HDDC) toolbox contains an efficient unsupervised classifiers for high-dimensional data. This classifier is based on Gaussian models adapted for high-dimensional data. Reference: C. Bouveyron, S. Girard and
pattenrecongition
- 通过用最小距离分类判别方法，用MATLAB程序找出最小距离分类判别时的识别界面，从而进行识别已知的两类训练样本，并分析其识别错误率。-By using minimum distance classifier discriminant method, using MATLAB program to find the minimum distance classifier recognition interface when the judge, which is known to identify
svm
- SVM classifier: SVM is a traditional discriminative classification method.
knn
- K-nearest neighbor classifier (k-NN) is a nonparametric approach for classification. It does not require the priori knowledge such as priori probabilities and the conditional probabilities. It operates directly towards the samples and is categorized
Speakerrecognitionbased-on-MFCC
- 这是一篇工学硕士论文，主要说关于说话人语音识别，，以支持向量机为分类器，分别以MFCC和IM-FCC为特征单独执行分类，将得到结果按某种方式融合，取两者之长，最后做出判决来提高说话人识别系统的性能。-Speaker recognition is a kind of technology that take the use of the information contained in the speech signal to identify who is the speaker or to
spm
- 垃圾邮件分类识别源代码，用于在终端过滤垃圾邮件，是嵌入式程序。-Spam classifier to identify the source code used to filter spam at the terminal, is an embedded program
mfccPSVM
- 本实例程序是基于matlab的语音识别程序，通过提取传统的MFCC特征集，采用当前流行的SVM分类器，作为对比实验是一个不错的选择。-This example program is popular SVM classifier matlab speech recognition program to extract MFCC feature set, as a comparative experiment is a good choice.
MFCCPHMM
- 本实例程序是基于matlab的语音识别程序，通过提取传统的MFCC特征集，采用HMM分类器，作为对比实验是一个不错的选择。-This example the program matlab speech recognition program to extract MFCC feature set, the HMM classifier, as a comparative experiment is a good choice.
bayes
- 贝叶斯分类器计算的后验概率值，找到最大的后验概率-Bayesian classifier posteriori probability value, find the maximum a posteriori probability
ham/spam classifier
- small python ham/spam classifier