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apcluster
- 一种聚类的新方法，不用开始就设定聚类点的总个数，只需要确定参数p的值，p越大算出的聚类个数就越大，相反一样。-[idx,netsim,dpsim,expref]=APCLUSTER(s,p) clusters data, using a set of real-valued pairwise data point similarities as input. Clusters are each represented by a cluster center data point (t
subcorrect
- Ever got a movie subtitle file that won t match? Here is a code to correct time offset and speed of .idx, .srt and some other subtitle files. Drag-drop capable executable is also included.
GM_EM
- 不错的GM_EM代码。用于聚类分析等方面。- GM_EM- fit a Gaussian mixture model to N points located in n-dimensional space. Note: This function requires the Statistical Toolbox and, if you wish to plot (for k = 2), the function error_ellipse Elem
z2grd3
- 数据格式的转换 从z2到xyz的转换 不同的软件需要不同的数据输入 -grd2xyz f.grd-Z|z2grd3-Rw/e/s/n-Idx/dy-Gf.grd3 c c In some cases you have produced a .grd file using gmt commands c and you wish to read it in a fortran or a C++ program
convolution-nn
- 卷积神经网络源代码，visual studio可以运行的！mnist手写库的idx-ubyte格式的数据在里面，原图片再另一个工程里-convolution neural network
delete-outliers
- 用于去除一个数据集中的野点的matlab函数，可应用数据建模及统计分析-For input vector A, returns a vector B with outliers (at the significance level alpha) removed. Also, optional output argument idx returns the indices in A of outlier values. Optional output argument outlie
statistics_kmeans
- K-means算法是一种硬聚类算法，根据数据到聚类中心的某种距离来作为判别该数据所属类别。K-means算法以距离作为相似度测度。(kmeans uses the k-means++ algorithm for centroid initialization and squared Euclidean distance by default. It is good practice to search for lower, local minima by setting the 'Replica