搜索资源列表
K-Means
- K-MENAS算法是最简单的聚类算法，适合对于初学者的学习和改进使用-K-MENAS algorithm is a clustering algorithm is the most simple, suitable for beginners to learn and use improved
Rough-Set
- 学习粗糙集理论的基础，有关于粗糙集的文献，便于更好理解-Learn basic rough set theory, rough set about literature, for better understanding
released
- 本文件是我自己写的决策树的一个例子，很适合初学者学习，用决策树分类，实现很简单-This document is an example of the decision tree of my own writing, it is suitable for beginners to learn, decision tree classification, to achieve a very simple
EM
- EM算法是数据挖掘算法之一，有兴趣的可以来学习。-EM algorithm is one of data mining algorithms, interested can learn.
x
- python scikit-learn lshforest的使用-use lshforest
py_ml
- 简单的人脸识别，及其他机器学习方法，使用scikit-learn。-machine learning using python
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
test1
- scikit-learn常用分类器的实例-Examples of commonly used scikit-learn classifier
guanliandu
- 是计算关联度的软件，调试过，可以执行。对学习时间序列预测很有意义-Is to calculate correlation software, debugging, you can perform. Time series prediction is very meaningful to learn
libsvm-by-cpp
- svm的matlab代码 十分好用 是份很好的学习资料 可直接编译成exe文件运行 欢迎大家下载-SVM algorithm with C++ method and ideal for beginners to learn the code easy to read parts of a good learning materials
HW1_GA
- 基于matlab的遗传算法的简单实现，可用于初学者对遗传算法进行简单了解-Based on simple matlab genetic algorithm can be used for beginners to learn simple genetic algorithm
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
K-means
- 本程序是用python写的一个K均值算法，通过该算法可以学习一python实现算法的流程，以及学习该算法的使用。-The program is written in python a K-means algorithm, the algorithm can learn a python algorithm implementation processes, and learning to use the algorithm.
SVM-introduction
- SVM浓缩讲稿，精简地介绍了svm的基本概念和理论，有助于新手理解和学习。-SVM speech introduces the basic principles and core concepts SVM to help the novice to learn and understand.
knn
- 这是一个简单的测试knn算法的代码，便于初学者学习和理解knn算法-This is a simple test knn algorithm code, for beginners to learn and understand knn algorithm
MLRforSSVEPDemo
- 对于CK信号进行降维，同时也有线性回归方法，里面有一个例子供大家学习-CK signal for dimensionality reduction, but also a linear regression method, which has an example for everyone to learn
MachineLearning-wepe
- MachineLearning-作者wepe 及其学习的实用包 包含决策树，支持向量机，K-MachineLearning- OF wepe and learn practical package contains decision trees, SVM, KNN, etc.
douban
- 网络爬虫编码，可爬取数据，可以用于初学者学习，具有较好的参考价值。-Network crawler coding, crawling data can be used for beginners to learn, with a good reference value.
EEMD1
- EEMD算法的例程，希望对大家的学习工作有所帮助吧。-EEMD algorithm routines, we want to learn to help it.
254280176MATLABcar
- 算法的例程，希望对大家的学习工作有所帮助吧。-algorithm routines, we want to learn to help it.