资源列表
discriminant-analysis
- 判别样本所属类别的方法，主要包括Fisher判别、朴素Bayes判别和距离判别等-The method for determining the sample belongs to the category of specific methods include Fisher discriminant, discriminant and Bayes discriminant distance
R-Code-for-FS-using-FRQR
- R code for FS using FRQR
Apriori
- 实现基本的Apriori算法，可以实现数据关联规则的挖掘处理，进行分类预测-To achieve the basic Apriori algorithm can handle data mining association rules, classification and predication
recommendations
- Python编写简单的推荐系统，供初学者使用-Python written in a simple recommendation system for beginners
Complete
- data mining on flight passengers data
kmeans
- k-means算法是文本聚类经典算法，也是数据挖掘十大经典算法之一。k-means算法Java实现。-k-means algorithm is a classical algorithm text clustering, data mining is one of the ten classic algorithms. k-means algorithm is implemented in Java.
DecisionTree
- 本程序是利用python写的一个决策树算法，通过该例子可以实现简单的决策树处理，也可以学习决策树算法的基本思想。-This procedure is to use python to write a decision tree algorithm, this example can be achieved by a simple decision tree processing, you can also learn the basic idea of the decision tree alg
clean
- 用于量化挖掘股票投资中，股票时间价格Tick序列数据的单位转换与数据清洗-Stock investment for quantifying mining, stock price time series data Tick unit conversion and data cleansing
kNN
- 用python编写的knn算法，并将其应用到改进约会网站的配对效果和手写识别系统两个实例中。-Written in python knn algorithm and its application to improve the effectiveness and dating sites pairing handwriting recognition systems both instances.
HPI-PREDICT
- 房价指数预测HPI，用时间序列ARMA模型预测房价-HPI forecast
neighborhood-mu-info
- 基于邻里互信息特征的评价与选择,数据挖掘，Matlab平台-neighborhood mutual information based feature uation and selection
PCA-AND-PNN
- 应用主成分分析对数据降维，将得到的数据用于概率神经网络训练，进行模式识别。对于一组新数据，先计算主成分得分，再输入训练好的概率神经网络，就会得到识别结果，即改组数据属于何种类别。-Principal component analysis of the data reduction, data will be obtained for the probabilistic neural network training, pattern recognition. For a new set of d