说明：  实现SC谱聚类算法，该算法首先根据给定的样本数据集定义一个描述成对数据点相似度的亲合矩阵,并且计算矩阵的特征值和特征向量，然后选择合适 的特征向量聚类不同的数据点
(Achieve the SC spectral clustering algorithm Firstly, a description of the similarity of paired data points affinity matrix based on the given sample data set definition and calculation of the eigenvalues ​ ​ and eigenvectors of the matrix, and then select the appropriate feature vectors clustering the data point)