搜索资源列表
AdaBoost
- 加强树算法的一个实例，最后取得了很好的分类结果，便于推广，分类器的代码可以根据实际进行更改。-Strengthen an instance tree algorithm, finally achieved good classification results, easy to promote, classification code can actually make changes.
matlab
- 用于SVM实现不同算法对不同数据集性能测试的MATLAB代码，包括离线，在线算法。-SVM implement different algorithms for different data sets to performance testing MATLAB code, including offline and online algorithms.
PSOjulei
- 本文是粒子群聚类算法代码，很细致，希望大家用得上！-This is the class of particle clustering algorithm code, very detailed, I hope you need them!
Untitled35
- 这是一段关联规则算法代码，可以基于兴趣度挖掘关联规则，准确度高且执行时间少。-This is a section of association rules algorithm code, can be based on the degree of interest in mining association rules, high accuracy and less execution time.
LogitTwice
- 基于逻辑回归的二分类算法代码，能很好的实现-Binary logistic regression based algorithm code, can achieve a good
DPCxy
- Science上发表的Clustering by fast search and find of density peaks，该代码为我改编后的matlab密度峰聚类算法代码-Science Clustering published on the by fast search and find of density peaks, the code for my adaptation of the MATLAB density peak clustering algorithm code
366265689itoolbox
- 间隔偏最小二乘算法代码，但要自己先琢磨下才更容易吸收-Interval partial least squares algorithm code, but under their own first to be more easily absorbed
LARS算法
- 包括LARS的经典文章和实现代码（MATLAB）(Abstract There are a number of interesting variable selection methods available beside the regular forward selection and stepwise selection methods. Such approaches include lasso (Least Absolute Shrinkage and Selection Operat
cc
- 可以执行矩阵的相关性子矩阵挖掘，代码开始部分的备注里包含实例矩阵，大家可以实验看看，代码原创，实验可以，但是如果用在商业或者学术里，请和我联系~(Relative matrix mining of matrices can be performed)
决策树代码
- 基础决策树算法适合初学者第一次尝试r编程(simple decision tree)
764581
- 简单介绍了svm算法,然后提出了改进算法smo,在数学及算法,代码方面都给出了论证,()
gsadecluster
- 提供一个用visual basic实现的pso算法代码,希望对相关工作人员有用()
最近邻分类代码
- 在linux 下C语言实现最近邻聚类算法，工程已经使用(near K neighbor cluster)
eupervisor
- 遗传算法代码,用于算法参考,算法简单,节省时间,()
62148760
- 这个是简单的初级的算法代码汗 不要在冒了()
支持向量机
- 用于机器学习，代码中将支持向量机计算过程详细展示(For machine learning, the code is shown in detail in the support vector machine computing process)
EEMD
- 该算法可自适应地将信号分解成若干单分量信号(The algorithm can adaptively decompose the signal into several single component signals.)
svm
- 该代码实现了经典的SVM支持向量机算法，Python语言编写，产生结果图。(This code implements the classic SVM support vector machine algorithm, Python language, and produces the result graph.)
SSTCA
- 半监督迁移SSTCA算法实现,matlab代码。包括拉普拉斯图矩阵(Semisupervised Domain Adaptation via Transfer Component Analysis)
机器学习算法实现
- 实现主流机器学习算法，代码经过检验，都能跑的通。(Implementing Mainstream Machine Learning Algorithms)