资源列表
best_kmeans
- 该算法克服了kmeans算法需要手动设置k值得缺陷，使用多次迭代，可以自动得到合适的k值，并进行聚类计算。该算法不是本人所写，这里上传供同行传阅。http://www.mathworks.com/matlabcentral/fileexchange/49489-best-kmeans-x--this program is come form the link:http://www.mathworks.com/matlabcentral/fileexchange/49489-best-kmeans
FCBF
- This a one of the data mining algorithm completly made by me. This is based on feature subset selection. One of the popular algorithm of feature selection named Fast Correlation based feature selection algorithm(FCBF).It s complete code is here with
CUSUM
- CUSUM算法程序,使用CUSUM方法检测残差的跳变.-CUSUM algorithm, the use of CUSUM method for detecting residual transition.
DP
- 改进过后的 密度峰值算法 不需要人工干预选择中心-After the peak density improved algorithm does not require human intervention to center
holt_winters
- holt-winters 三次指数平滑算法,时间序列预测算法，带测试数据及Demo-Triple Order Exponential Smoothing, Holt-Winters algorithm, time series prediction algorithm with test data and Demo
leigs
- laplacian eigenmaps算法-laplacian eigenmaps Algorithm
bayes
- 机器学习中的朴素贝叶斯算法，利用python实现的算法-The naive Bayesian algorithm in machine learning, using Python to achieve the algorithm
gfftogenebank
- 转换GFF文件to genbank格式文件。(Convert GFF files to genbank format files.)
datato1ofm
- Take categorical data matrix and transform whole matrix to binary sparse 1ofM matrix, keeping track of what came where. Ideal for any form of count-based probabilistic analysis.-Take categorical data matrix and transform whole matrix to binary sparse
myknn
- 自己写的knn算法，加入了剪辑近邻法,可以对类别交界处进行剪辑-knn written by myself
knn
- KNN分类器的MATLAB代码，速度快效果好，适合初学者使用。-KNN search without using any gancy data structure, such as kd-tree. However, it is the fastest knn matlab implementation I ever found.
R-Code
- This contains R code for feature selection