搜索资源列表
C4.5
- 数据挖掘分类算法决策树C4.5数据挖掘分类算法决策树C4.5-data mining C4.5
Code-for-classification
- R语言分类算法，可以直接用，简洁方便，适合初学者-R language classification algorithm, can use directly, simple and convenient, suitable for beginners
Bayes
- 做了C++的贝叶斯分类算法的实现，希望感兴趣的下载-Do realize C++ Bayesian classification algorithm want to download interesting
KNN
- 做了KNN分类算法的C++实现，希望感兴趣的下载-We do C++ KNN classification algorithm, and the hope of interest to download
k-means-cluster
- 分类算法中k均值分类算法，可以用于简单的模式识别中去。-Classification algorithm of k-means classification algorithm, which can be used in a simple pattern recognition.
svm
- svm 分类算法 java源代码 很好的学习程序-svm classification algorithm java source code is a good learning program
mitmatlab
- 基于matlab的数据挖掘工具箱，包括了几乎全部当前常见的数据分类算法-Matlab based data mining toolbox, including almost all of the current common data classification algorithm
AdaBoost
- 用python实现的AdaBoost分类算法，文件是一个ipython notebook，可以直接用ipython/jupyter打开使用。内附简单测试数据集。 程序运行需要numpy库的支持。-An AdaBoost classifier implemented with Python.
classifier
- 一种分类算法工具箱，可以进行人脸识别，对模式识别和分类算法很有用-A classification algorithm toolbox, face recognition, pattern recognition and classification algorithms useful
SVM
- SVM多分类算法的一些程序，有很多种类型，包括经典的四种工具箱，还有代价敏感支持向量机，超球面支持向量机等-Some programs about SVM multi-classification algorithm, there are many types, including the classic four toolbox, as well as the price-sensitive support vector machine, hypersphere support vector
ypml110-dbscan-clustering
- 分类算法，实测可用，可选择分类算法类型进行分类。-Classification algorithm, found available, you can choose the type of classification algorithm to classify.
python-quantitive
- python 分类算法量化投资 SVM 神经网络算法 沪深300指数-python classification algorithm quantitative investment
knn
- K近邻分类算法实现 in Python -KNN Classfier in Python
pyspark_process
- 使用pyspark进行文本分类算法实现,其中使用了tf-idf表示-Use pyspark text classification algorithm, which uses the tf-idf representation
LogitTwice
- 基于逻辑回归的二分类算法代码，能很好的实现-Binary logistic regression based algorithm code, can achieve a good
knn
- KNN简单分类算法C++的实现，大家可以参考下，采用欧式距离，里面包含了knn.cpp以及train.txt，test.txt，rusult.txt-Classification algorithm (KNN), the realization of the c++, you can reference, USES the Euclidean distance, which contains the KNN, CPP and train. TXT, test. TXT, rusult. TXT
knnmyself
- knn分类算法，可以自动将excel转换为mat，可以自行调整参数，第二列为标签-knn classification algorithm can automatically be converted to excel mat, you can adjust the parameters of their own, as a second label
rpart
- rapart函数是R语言中关于建立决策树的函数，利用这个函数源码，我们可以进行决策树分类算法的使用。-rpart is the code which we can use it to create decision tree.
文本深度挖掘
- 用于分析文档，分析情感指数，正负面情绪，及新闻分类(Used to analyze documents, analyze sentiment, positive and negative emotions, and classify news)
最近邻分类代码
- 在linux 下C语言实现最近邻聚类算法，工程已经使用(near K neighbor cluster)