资源列表
my-k-means
- 这是一个k-means聚类算法，将一个四维量（比如有明确物理意义的花瓣长宽花萼长宽)按照几个中心点分成几类-This is a k-means clustering algorithm, a four-dimensional volume (such as a clear physical meaning petals calyx length and width aspect) is divided into several categories according to several ce
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
FCBF
- This a one of the data mining algorithm completly made by me. This is based on feature subset selection. One of the popular algorithm of feature selection named Fast Correlation based feature selection algorithm(FCBF).It s complete code is here with
GA-Net
- 很经典的社区网络问题解决方案，基于传统的遗传算法GA为优化策略。-GA-Net: A Genetic Algorithm for Community Detection in Social Networks
Overview-of-Community-Detection
- 读研期间进行的社区网络划分相关的研究，看到当时长时间的调研后，完成的综述，供大家参考-Overview of Community Detection
Overview-of--DCS-in-CN
- 复杂网络中的社团结构算法综述 关 键 词 ：复杂网络 社团结构 层次性 模块度函数 重叠性-Overview of Algorithms for Detecting Community Structure in Complex Networks
irtlab-master
- Matlab 的生物数据预处理程序包，包含多种预处理方法-Biological data preprocessing Matlab package that contains a variety of pretreatment methods
Linear-dynamics
- 非线性动力学元胞自动机的演示程序Nonlinear dynamics of cellular automaton demo program-Nonlinear dynamics of cellular automaton demo program
FPtree
- 数据挖掘中关联规则算法的FPtree算法的Python实现。FPtree算法比apriori算法更擅于处理大规模的数据-Data Mining Association Rules algorithm FPtree algorithm implemented in Python. FPtree algorithm apriori algorithm is more than adept at handling large data
Ap
- 数据挖掘中关联规则挖掘算法-apriori，的Python实现，代码中有测试样本-Data mining association rule mining algorithm-apriori, implementation of Python code in a test sample
svm
- 支持向量机python实现算法，回归、分类、预测-surpport vector machion
Kaggle_Titanic-master
- 利用逻辑回归解决Kaggle泰坦尼克之灾 -Logistic regression to solve Kaggle Titanic disaster python code