//?FCM.cpp?:?此文件包含?“main“?函數。程序執行將在此處開始并結束。
//

#include?“pch.h“
#include?
#include?

void?myFCMeans（float*?pSamples?int*?pClusterResult?int?clusterNum?int?sampleNum?int?featureNum?int?m_Value）;

int?main（）
{
	#define?MAX_CLUSTERS?5
	//CvScalar?color_tab[MAX_CLUSTERS];
	cv::Scalar?color_tab[MAX_CLUSTERS];
	IplImage*?img?=?cvCreateImage（cvSize（500?500）?IPL_DEPTH_8U?3）;
	CvRNG?rng?=?cvRNG（cvGetTickCount（））;
	cv::Point?ipt;

	//color_tab[0]?=?CV_RGB（255?0?0）;
	color_tab[0]?=?cv::Scalar（255?0?0）;
	color_tab[1]?=?CV_RGB（0?255?0）;
	color_tab[2]?=?CV_RGB（100?100?255）;
	color_tab[3]?=?CV_RGB（255?0?255）;
	color_tab[4]?=?CV_RGB（255?255?0）;


	int?i?k;
	int?clusterNum?=?cvRandInt（&rng）?%?MAX_CLUSTERS?+?2;	//至少有兩類
	int?sampleNum?=?cvRandInt（&rng）?%?1000?+?100;			//至少100個點
	int?feaNum?=?2;??//特征維度
	CvMat*?sampleMat?=?cvCreateMat（sampleNum?1?CV_32FC2）;
	/*?generate?random?sample?from?multigaussian?distribution?*/
	//產生高斯隨機數
	//隨機生成樣本多元高斯分布
	//樣本總數為sample_count?類別總數為cluster_count
	//樣本矩陣為points先按類別分成cluster_count份?每一份數據的個數為sample_count/cluster_count
	//然后按類別隨機矩陣填充樣本矩陣第一類填充矩陣的0~sample_count/cluster_count行
	//第二類填充樣本矩陣的sample_count/cluster_count~sample_count/cluster_count*2行以此類推直到填充滿所有矩陣每一類的樣本個數是一樣的
	for?（k?=?0;?k?	{
		CvPoint?center;
		int?topIndex?=?k?*?sampleNum?/?clusterNum;??//填充的索引
		int?bottomIndex?=?（k?==?clusterNum?-?1???sampleNum?:?（k?+?1）*sampleNum?/?clusterNum）;

		CvMat*?localMat?=?cvCreateMatHeader（bottomIndex?-?topIndex?1?CV_32FC2）;
		center.x?=?cvRandInt（&rng）?%?img->width;
		center.y?=?cvRandInt（&rng）?%?img->height;
		//返回數組在一定跨度的行
		//points為輸入數組point_chunk返回數組
		//開始行為k*sample_count/cluster_count
		//結束行為?當k==?cluster-1時?為?第samplecount行?否則為（k+1）*sample_count/cluster_count
		cvGetRows（sampleMat?localMat?topIndex?bottomIndex?1）;	//此函數不會給localMat分配空間不包含bottomIndex，其實localMat已經和得到的幾行數據進行了綁定
		//point_chunk輸出數組CV_RAND_NORMAL分布類型為正態分布或者高斯分布
		//cvScalar（center.xcenter.y00）隨機數的平均值
		//?cvScalar（img->width/6img->height/600）如果是正態分布它是隨機數的標準差
		cvRandArr（&rng?localMat?CV_RAND_NORMAL
			cvScalar（center.x?center.y?0?0）
			cvScalar（img->width*0.1?img->height*0.1?0?0））;???//在這里隨機就相當于在給sampleMat賦值
	}

	//?shuffle?samples?混亂數據
	for?（i?=?0;?i?	{
		CvPoint2D32f*?pt1?=?（CvPoint2D32f*）sampleMat->data.fl?+?cvRandInt（&rng）?%?sampleNum;
		CvPoint2D32f*?pt2?=?（CvPoint2D32f*）sampleMat->data.fl?+?cvRandInt（&rng）?%?sampleNum;
		CvPoint2D32f?temp;
		CV_SWAP（*pt1?*pt2?temp）;
	}

	float*?pSamples?=?new?float[sampleNum?*?feaNum];??//大小等于特征維度乘以樣本數
	int*?pClusters?=?new?int[sampleNum];
	for?（i?=?0;?i?	{
		//feaNum=2???將二維數據作為數據集
		pSamples[i*feaNum]?=?（cvGet2D（sampleMat?i?0））.val[0];
		pSamples[i*feaNum?+?1]?=?（cvGet2D（sampleMat?i?0））.val[1];
	}
	cvReleaseMat（&sampleMat）;??//數據集制作完畢，釋放內存

	cvZero（img）;??//初始化圖片
	for?（i?=?0;?i?	{
		//fe

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2019-03-05?16:28??FCM\.vs\
?????目錄???????????0??2019-03-05?16:28??FCM\.vs\FCM\
?????目錄???????????0??2019-03-11?16:18??FCM\.vs\FCM\v15\
?????文件???????26624??2019-03-11?16:18??FCM\.vs\FCM\v15\.suo
?????文件????22171648??2019-03-11?16:18??FCM\.vs\FCM\v15\Browse.VC.db
?????目錄???????????0??2019-03-05?20:53??FCM\.vs\FCM\v15\ipch\
?????文件??????327680??2019-03-05?16:28??FCM\.vs\FCM\v15\ipch\29c714a186fa55df.ipch
?????目錄???????????0??2019-03-07?15:40??FCM\.vs\FCM\v15\ipch\AutoPCH\
?????文件??????327680??2019-03-11?16:18??FCM\.vs\FCM\v15\ipch\cfd589cfd835b35a.ipch
?????文件????????1422??2019-03-05?16:28??FCM\FCM.sln
?????目錄???????????0??2019-03-07?14:42??FCM\FCM\
?????文件???????32356??2019-03-06?14:56??FCM\FCM\clusters.jpg
?????文件???????10378??2019-03-07?14:42??FCM\FCM\FCM.cpp
?????文件????????8538??2019-03-05?16:31??FCM\FCM\FCM.vcxproj
?????文件????????1151??2019-03-05?16:28??FCM\FCM\FCM.vcxproj.filters
?????文件?????????165??2019-03-05?16:28??FCM\FCM\FCM.vcxproj.user
?????文件???????28914??2019-03-11?16:18??FCM\FCM\origin.jpg
?????文件?????????200??2019-03-05?16:28??FCM\FCM\pch.cpp
?????文件?????????639??2019-03-05?16:28??FCM\FCM\pch.h
?????目錄???????????0??2019-03-05?16:31??FCM\FCM\x64\
?????目錄???????????0??2019-03-11?16:17??FCM\FCM\x64\Debug\
?????文件?????????613??2019-03-11?16:17??FCM\FCM\x64\Debug\FCM.log
?????文件??????437079??2019-03-11?16:17??FCM\FCM\x64\Debug\FCM.obj
?????文件?????2031616??2019-03-05?16:31??FCM\FCM\x64\Debug\FCM.pch
?????目錄???????????0??2019-03-11?16:17??FCM\FCM\x64\Debug\FCM.tlog\
?????文件????????1490??2019-03-11?16:17??FCM\FCM\x64\Debug\FCM.tlog\CL.command.1.tlog
?????文件???????30106??2019-03-11?16:17??FCM\FCM\x64\Debug\FCM.tlog\CL.read.1.tlog
?????文件?????????990??2019-03-11?16:17??FCM\FCM\x64\Debug\FCM.tlog\CL.write.1.tlog
?????文件?????????206??2019-03-11?16:17??FCM\FCM\x64\Debug\FCM.tlog\FCM.lastbuildstate
?????文件????????1330??2019-03-11?16:17??FCM\FCM\x64\Debug\FCM.tlog\link.command.1.tlog
?????文件????????2644??2019-03-11?16:17??FCM\FCM\x64\Debug\FCM.tlog\link.read.1.tlog
............此處省略9個文件信息