资源列表
Data-dimensionality-reduction
- 该压缩文件为部分数据降维方法，有LTSA、HHLLE、ISOMAP、LLTSA、LLP-The compressed file for the partial data dimensionality reduction method, there are LTSA, HHLLE, ISOMAP, LLTSA, LLP
phasespace-reconstruction
- 混沌相空间重构，重构嵌入维数，计算时间延迟-phase space reconstruction
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
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
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
Code-for-c4.5
- R code for c4.5 implementation
Code-SVM-implementation
- R Code for SVM implementation
BreastCancer
- Code for Classification Accuracy of KNN, C4.5 and SVM algo in R
ID3-and-C4.5
- ID3 and C4.5, such as data mining algorithms for classification
UCI
- 机器学习常用的35个UCI数据集，包括iris、lenses、mushroom、pima indians、wine等。-Machine learning UCI common data set 35, including iris, lenses, mushroom, pima indians, wine and the like.
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.
CF
- Python实现协同过滤算法，即Collaborative Filtering(CF)，数据集为MovieLens电影推荐和书籍推荐数据集-Python implementation of collaborative filtering algorithm, namely Collaborative Filtering (CF), the data set is recommended MovieLens movie and book recommendations datasets