资源列表
k
- k mean algorithm implementation using random cluster centroid
FP-and-apriori-code
- FP和Apriori算法实现，Java代码，myeclipse下可直接使用！-FP and Apriori algorithm, under the Java code, myeclipse can be used directly!
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
NaiveBayes-master
- 对文本信息进行分类，训练和学习，利用朴素贝叶斯算法实现。-Text information on the classification, training and learning, with Naive Bayes algorithm.
finance
- MATLAB金融工具包，它是适用于技术和数据分析的财务方面-matlab financial tool kit, it is applicable to the financial aspects of the technology and data analysis
HMM
- Hidden markov model with baum welch algo and vertibi algo
smmc
- SMMC聚类算法，子空间聚类和多流形聚类均好用，线性空间和非线性空间也好用。-SMMC clustering algorithm, subspace clustering and multi manifold clustering are well used, linear space and nonlinear space.
violinplot
- 这是关于机器学习中的代码，通过绘制violinplot图来观察数据的分布变化等-It s about machine learning code, distribution changes by drawing violinplot plans to observational data, etc.
PCA
- 数据挖掘中很重要的主成分分析(PCA)算法-Principal Component Algorithm in Data Mining
GA
- 基于VB 的遗传算法求解最大值问题，适合初学者-VB based on genetic algorithm for solving maximum problem for beginners
R-Code
- This contains R code for feature selection
R-Code-for-FS-using-FRQR
- R code for FS using FRQR