资源列表
pujulei
- 谱聚类算法建立在谱图理论基础上,与传统的聚类算法相比,它具有能在任意形状的样本空间上聚类且收敛于全局最优解的优点。 该算法首先根据给定的样本数据集定义一个描述成对数据点相似度的亲合矩阵,并且计算矩阵的特征值和特征向量 , 然后选择合适 的特征向量聚类不同的数据点。谱聚类算法最初用于计算机视觉 、VLS I 设计等领域, 最近才开始用于机器学习中,并迅速成为国际上机器学习领域的研究热点。-Spectral clustering algorithm based on the spectrum b
Regression
- 6 matlab file about regression. mathematical theory of regression implemented in matlab software.
Regressionmath
- 6 matlab file about regression. mathematical theory of regression implemented in matlab software.
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
