资源列表
QXLCDL
- 基本遗传算法,又称为SGA算法,其中包括了详尽的注释,执行效果还不错！()
6775416
- 用数值算法这里用的是矩量法计算地面上方单导体传输线的电容()
ZQNJHPR
- IBM实验室提供的数据集生成器源码,可以数据挖掘中经常使用的关联规则数据集,()
869826
- 本例子介绍了如何进行任意的背景渲染过渡的算法()
24567507qpso-svm
- 一个粒子群优化的支持向量机，运行过的，很好用，供初学者参考-A particle swarm optimization support vector machine (SVM), running, useful, reference for beginners
mani
- 一个流形学习的GUI，可以直接运行，里面包含八种流形学习算法-MANIfold learning demonstration GUI by Todd Wittman, Department of Mathematics, University of Minnesota
mani
- 此代码是关于流形学习，数据降维，代码中含有的主要方法是PCA，KPCA，MDS，KMDS，Laplacian等等，且代码作了可视化处理，界面效果完美-This code is on the manifold learning, data dimensionality reduction, the main method code is contained in PCA, KPCA, MDS, KMDS, Laplacian, etc., and the code visualization ma
CAN-code
- 自适应临近聚类算法/集群和投影聚类/自适应的邻居 -Clustering and Projected Clustering with Adaptive Neighbors. The 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), New York, USA, 2014
CAN_ACM SIGKDD_2014
- Nie F, Wang X, Huang H. Clustering and projected clustering with adaptive neighbors[C]//Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining. 2014: 977-986.
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.
K-Means-master
- 模糊C均值聚类算法的PYTHON实现，在UCI的IRIS数据集上实现-Fuzzy C-means clustering algorithm PYTHON realization, implemented on UCI s IRIS data set
K-means
- K-means算法,一种聚类方法，其每个类别均用该类中所有数据的平均值（或加权平均值）来表-K-means Algorithm