资源列表
SNA
- 复杂网络社团发现算法，包括重叠社团发现算法和一些非重叠社团发现算法。-Complex network community discovery algorithm
birch.tar
- birch python 修改，里面可能存在一些问题，但大体罗辑是对的-birch python modify
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
Fuzzy-Association-Rule-Mining
- thats really work for association mining
ID3
- id3,数据挖掘的决策树的经典算法，利用Java实现-data mining
CliqueB
- 基于派系方法的社团结构划分算法，自己实现的，C++代码源程序。-A method of community structure based clique.
SVDFeature
- 自己开发的一个机器学习算法，整合了监督学习，非监督学习-A machine learning algorithm own development, integration of supervised learning, unsupervised learning
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
id3
- id3决策树算法，maxlen为数据维数，根绝数据自行修改，根据属性名修改main函数，可运行-id3 decision tree algorithms, maxlen for the data dimension, eradicate data modify, modify the main function according to the attribute name, you can run
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
sel2fasta.pl.tar
- obtain sequences based on list file output by sumaryFasta.pl
Iris_s1
- Kmeans+PSO算法，处理IRIS数据集，输出fitness function的值，和粒子变化的动态图像,亲测可行。-Kmeans based PSO algorithms, dealing with classic dataset iris. the output is the value of fitness function, and the dynamic plot of the change of particle position