在数据挖掘中,最难得的就是数据集。sci14年发表的一篇经典聚类算法《Clustering by fast search and find of density peaks》里,用到了人脸聚类的数据集,并且用该算法聚得人脸的效果不错。这里便是该论文中用到的10个人,100张人脸抽取的特征向量。每一个文件表示一张人脸,从上到下,每十张属于一个类。
人脸数据集CFP:CFP consists of 500 subjects each with 10 frontal and 4 profile images. The evaluation protocol includes frontal-frontal (FF) and frontal-profile (FP) face verification, each having 10 folders with 350 same-person pairs and 350 different-pe