在matlab中为kmeans聚类提供了哪些图像数据？(What data of images are given to kmeans clustering in matlab?)

 我在我的数据库中有100个图像。我使用这100个图像作为训练集和测试图像。我必须制作5个簇。我使用特征面（PCA）进行特征提取。应该在matlab中给出kmeans命令的数据？ 
 
 kmeans命令的语法： 
 
 [IDX，C] = kmeans（X，k） 
 
 1.什么是X值？ 
 
 2.我们是否必须将欧几里德距离作为输入？ 
 
 3.我们是否必须给出输入图像的权重向量？ 
 
 请详细解释我。 
 
 源代码我试过 
 
X = []
    srcFiles = dir('C:\Users\rahul\Desktop\tomorow\*.jpg');  % the folder in which ur images exists
for i = 1 : length(srcFiles)
    filename = strcat('C:\Users\rahul\Desktop\tomorow\',srcFiles(b).name);
    Imgdata = imread(filename);
    X(:,  i) = princomp(Imgdata); 
end
[idx, c] = kmeans(X, 5)
 
 我得到的错误： 
 
 指数超过矩阵维度。 pca（第4行）中的错误filename = strcat（'C：\ Users \ rahul \ Desktop \ tomorow \'，srcFiles（b）.name）; 

Iam having 100 images in my database.Iam using those 100 images as both training set and also test images.I have to make 5 clusters.Iam using eigen faces(PCA) for feature extraction.What data should be given for kmeans command in matlab?
 
Syntax for kmeans command:
 
[IDX,C] = kmeans(X,k)
 
1.What is the X value?
 
2.Whether we have to give euclidian distance as input?
 
3.Whether we have to give weight vector of input images?
 
Please explain me in detail.
 
Source code i tried
 
X = []
    srcFiles = dir('C:\Users\rahul\Desktop\tomorow\*.jpg');  % the folder in which ur images exists
for i = 1 : length(srcFiles)
    filename = strcat('C:\Users\rahul\Desktop\tomorow\',srcFiles(b).name);
    Imgdata = imread(filename);
    X(:,  i) = princomp(Imgdata); 
end
[idx, c] = kmeans(X, 5)
 
Error iam getting:
 
Index exceeds matrix dimensions. Error in pca (line 4) filename =strcat('C:\Users\rahul\Desktop\tomorow\',srcFiles(b).name); 

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