搜索资源列表
rec
- Java实现将movielens各种规模数据的划分为测试集和训练集-Split movielens dataset to trainset and test set
apriori
- 经典Apriori算法的优化，并在商场消费者消费数据集上进行测试，挖掘频繁模式-Optimization of classical Apriori algorithm, and tested in store consumer data sets, frequent pattern mining
matlab
- 用于SVM实现不同算法对不同数据集性能测试的MATLAB代码，包括离线，在线算法。-SVM implement different algorithms for different data sets to performance testing MATLAB code, including offline and online algorithms.
programs-and-data
- 通过KNN分类法，根据酒的某些性状信息对酒进行分类。然后，通过交叉验证对分类结果进行测试。最后，对数据进行主成分分析，再进行分类。-By KNN classification, according to certain traits information wine wine classification. Then, through cross-validation of the classification tested. Finally, principal component analy
lda_perplexity
- 用训练出的模型测试词以及概率，并统计词数和计算困惑度-With the trained model test and the probability and statistics of words, words and perplexity calculation
KNNDemo
- KNN算法Java语言实现，控制台运行界面。分类训练样本集和测试样本都有。-Java KNN language implementation, the console running interface. Classified training samples and test samples are.
mvrvm_c
- 相关向量机RVM用于预测和分类,含有归一化，训练和测试，可以多变量输出，解决海瑟矩阵问题-RVM relevance vector machine for prediction and classification, containing normalization, training and testing, can be more variable output matrix problem solving Heather
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.
pmf
- 推荐系统 概率矩阵分解代码 内部已包含有数据集，已分为训练集与测试集-Recommended system probability matrix decomposition Code
emial-spam
- 基于感知器算法的垃圾邮件识别，先通过训练集训练出分类器，然后通过测试集验证-Perceptron based spam detection algorithm
BP
- bp网络的测试代码，使用C++编程，已测试通过，希望对大家有用，多多提意见。-Bp network test code, using c++ programming, has the tests pass, hope useful for everyone, a lot of advice.
k_means
- 用matlab实现的简单的k_means聚类算法，简单有效，已测试通过-K_means with a simple clustering algorithm matlab realized, simple and effective, have been tested
spectral
- 用matlab实现的谱聚类算法，简单实用，已测试通过-Using spectral clustering algorithm matlab realized, simple and practical, have been tested
NMF
- 用matlab实现的基于非负矩阵分解NMF的聚类算法，已测试通过-NMF decomposition using clustering algorithm based on non-negative matrix matlab achieved, have been tested
kNN
- KNN，k近邻算法，内附测试数据集，机器学习实战源码-KNN, k nearest neighbor algorithm, enclosing the test data set, machine learning practical source
Batch-Gradient-Descent
- 分别使用了批梯度下降法和牛顿法进行线性回归的测试。-Respectively the batch gradient descent and Newton s method of linear regression tests.
DataMining_5
- java实现的决策树代码和随机森林以及Adaboost,里面有自带的数据集可以测试，结果和书上描述一样，亲测有效-DesicionTree，RandomForest and AdaBoost implemented by java,have been tested by myself.It can help those who want to learn data mining
apriori
- aprior算法的java实现，比较简单，能输出关联规则。经测试，可用。-apriori algorithm to achieve the java, is relatively simple and can output association rules. Tested and available.
DataMiningFPGrowth
- FP-Growth算法的java实现，简单易于理解。经测试，可用。不过不能输出关联规则。-FP-Growth algorithm to achieve the java, simple and easy to understand. Tested and available. But not output association rules.
DataMiningApriori
- apriori的java实现，写的有点长，不能输出关联规则。经测试，可用。-apriori achieve the java, write a bit long, you can not output association rules. Tested and available.