用VC控制计算机,光驱

《分形算法与程序设计――Visual C++实现》的第八章源码 -"fractal algorithm and program design-- Visual C realization," the eighth chapter FOSS

利用NIVIDIA公司的GPU编程SDK CUDA进行聚类分析-Using CUDA for hierachy clustering taking advantages of Pararell programming

该资料为学习VTK的新手提供了较为全面的入门资料-The information for the novice to learn VTK provides a more comprehensive introductory information on

运行解决方案，就可以与3D医疗卷交互。互动：三片定位。放大/缩小、旋转

水印植入的C代码，采用盲目植入与检测，附图象文件-c code for watermarking embedding. Blind watermarking embedding and detection algorithm. Test images are also included.

这是一个用VC实现的维纳算法源程序，用户输入原始数据后，经过维纳变换后，得到压缩的数据-This is a VC with the Wiener algorithm source files, user input raw data, After Wiener transform, to be compressed data

这是一个图片编辑库，可以对图片作多种操作，兼容多种图片格式-This is a photo editor, you can right picture for a variety of operational and compatible format photographs

COADING FOR EDITING JPEG FILES-COADING FOR EDITING JPEG FILES...

kmeans This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Output is directed to the screen. Usage for KMEANS is: KMEANS SOURCEFILE The format of the source file is: NPat - Number of patterns (int) SizeVect - Size of vector (int) NClust - Number of cluster centers(int) vect[1,1] ... vect[1,SizeVect] - vector 1 (real) vect[2,1] ... vect[2,SizeVect] - vector 2 (real) . . . . . . vect[NPat,1] ... vect[NClust,SizeVector] - vector N (real) To compile: ICC KMEANS.CPP -kmeans This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Outpu