资源列表
MSML-FP
- 支持多最小支持度多层次的关联规则挖掘算法，基于fp-growth方法优化实现-Support multiple minimum supports multi-level association rule mining algorithms, optimization fp-growth-based approach to achieve
MSML
- 支持多最小支持度多层次的关联规则挖掘，数据集为T10I4D100K，多最小支持度阈值为MSchange-Support multiple minimum supports multi-level association rule mining, data set T10I4D100K, more than the minimum support threshold MSchange
mitfcc
- mfcc MIT梅尔倒谱系数的提取lib-mfcc lib
A-new-SVM-method-based-on-gradient
- 基于支持向量机选择确定决定分类最优分界面的支持向量样本，基于这些样本中各个变量在基坐标上投影进行变量选择-Selection based on support vector machine (SVM) to determine the optimal boundary decision classification support vector of the sample, based on the sample of each variable on the base coordinate p
Bayes
- 数据挖掘 经典算法 贝叶斯网络matlab源码-data mining bayes net matlab source code
k_medoids
- 数据挖掘 k中心点算法 matlab示例-data mining k-medoids matlab example
DPCAandTE
- 基于动态主元分析的数学原理自己编写的程序，并包含时滞参数h的确定过程。-Based on dynamic mathematic principle of principal component analysis to write your own program, and contains a time delay process of h.
my_apriori
- 关联规则apriori matlab 示例-apriori matlab example
k-means
- k-means 算法在c++上的实现。在c++上实现了普通单层k-means算法的迭代过程。-k-means algorithm on c++' s. On c++ iterative process to achieve a common single k-means algorithm.
Recommend
- 常用推荐算法java实现~涉及多种相似度计算，比如cosine相似度，欧氏距离等~-recommand algirithm
imCRBM-master
- CRBM deep learning - machine learning
apprendista-master
- RBM network for deep learning