搜索资源列表
TreeID3
- 决策树ID3分类算法以及朴素贝叶斯分类算法可以用于数据的分类-Decision tree ID3 classification algorithm and the naive Bayesian classifier algorithm can be used for data classification
com
- 朴素贝叶斯文本分类，JAVA开发的，对非数值的数据进行分类-Naive Bayes Text Classifier
aplsc_code
- PLS分类，主要用于多数类与少数类的分类。-pls classifier
Bayes
- 实现贝叶斯分类算法,将指定的文件训练后，对测试集进行分类-Bayes classifier
MyTextClassify
- 这个程序的主要功能是 文本分类，分类算法是朴素贝叶斯分类-The main function of this program is a text classification algorithm Naive Bayes classifier
src
- this file for naive bayes classifier for text mining
NativeBayes
- MapReduce实现NaiveBayes分类器-MapReduce implementation NaiveBayes classifier
datamining-algorithm
- 数据挖掘的经典算法的java实现，含源码和说明。包括了ID3决策树，贝叶斯分类器等经典算法。-A Java implementation of classic data mining algorithm, including source code and instructions. Including the ID3 decision tree, bayes classifier and classic algorithms.
Classifier4J-0.6
- a bayes classifier implemented by java
Bayes
- 关于数据挖掘中贝叶斯分类器的实现代码。返回准确率。有数据。-About Data Mining Bayesian classifier implementation code. Back accuracy. There is data.
NaiveBayes
- 用Java实现的朴素贝叶斯分类器，并可对输入特征进行预测。-Java implementation of the Naive Bayes classifier, can be predicted on the input feature.
AdaBoost
- 基于决策树实现的AdaBoost分类器，是一个由多个弱分类器进行训练生成强分类的过程。-Based on AdaBoost classifier tree implementation, is a plurality of weak classifiers in the training process generates a strong classifier.
classfication
- 基于贝叶斯及KNN算法的newsgroup文本分类器，整个程序，可以直接导入-And KNN algorithm based on Bayesian text classifier newsgroup, the entire program, you can directly import
classfication
- 基于贝叶斯及KNN算法的newsgroup文本分类器，整个程序，可以直接导入-And KNN algorithm based on Bayesian text classifier newsgroup, the entire program, you can directly import
Knn-Classifier-master
- its a machine learning code
JavaBayes
- 用java编写的贝叶斯分类器，用于实现网页分类，中文网页分类-Using java prepared Bayesian classifier, used to implement web page classification, Chinese web page classification
SVM_JAVA
- svm分类器 可以直接用用于实际项目或者科研 可以进行修改-SVM classifier
bayes
- 基于朴素贝叶斯的主客观情感分类器，训练集数据集齐全-Objective and subjective feelings based on Bayesian classifier
Gestures
- The $1 Unistroke Recognizer is a 2-D single-stroke recognizer designed for rapid prototyping of gesture-based user interfaces. In machine learning terms, $1 is an instance-based nearest-neighbor classifier with a Euclidean scoring function, i.e., a g
classifiers
- 本程序是基于贝叶斯理论的朴素贝叶斯分类器，在weka和eclipse环境下使用-This procedure is a simple classifier based on the theory of Bayes, used in Weka and eclipse environment