资源列表
Adaboost
- Python实现Adaboost算法，数据集为horseColic马疝气病数据集，准确率和sklearn库中的adaboost算法一样。-Python implementation adaboost algorithm, the data set is horseColic horse hernia disease data collection, accuracy and sklearn library adaboost the same algorithm.
Naive-Bayes
- Python实现朴素贝叶斯分类，即Naive Bayes Classifier（NB），数据集为pima-indians印第安人糖尿病数据集。-Python implementation naive Bayes classifier, i.e. Naive Bayes Classifier (NB), the data set is pima-indians Indians diabetes data sets.
ID3-and-C4.5
- ID3 and C4.5, such as data mining algorithms for classification
BreastCancer
- Code for Classification Accuracy of KNN, C4.5 and SVM algo in R
Code-SVM-implementation
- R Code for SVM implementation
Code-for-c4.5
- R code for c4.5 implementation
Indoor-residence-testing
- 通过温度、湿度、光照等条件检测室内居住情况，居住为1，不居住为0-Through the temperature, humidity, light and other conditions to detect indoor living conditions, living in 1, do not live to 0
FP
- 关联规则挖掘的FP算法java代码实现。里面包含两个.java文件，其中FPGrowth.java是程序入口-Implementation of FP algorithm for association rule mining. Which contains two .java files, where FPGrowth.java is the program entry
svm-classification
- 此文件是利用支持向量机解决分类预测问题的一个简单的例子-This document is a simple example of using support vector machines to solve classification prediction problems
phasespace-reconstruction
- 混沌相空间重构，重构嵌入维数，计算时间延迟-phase space reconstruction
TextClassification-master
- text classification for support vector machine
lpa---java
- 标签传播算法(LPA)是由Zhu等人于2002年提出，它是一种基于图的半监督学习方法，其基本思路是用已标记节点的标签信息去预测未标记节点的标签信息。-Code label propagation algorithm