An attribute means clustering binary tree is presented in this paper . the binary tree is extends naturally and turns to be a supervised classification method . the orl database is used to evaluate the proposed method . the performance of the attribute means clustering binary tree used in face recognition is compared with the standard eigenface approach and improves their performance much in the experiment 在无监督的属性聚类网络的基础上,提出了一种二叉树分类方法。此二叉树自然地在无监督聚类的基础上扩展开来,成为一有监督的分类方法。用orl人脸数据库做了测试,同标准的特征脸eigenface方法相比,识别率得到了较大的提高。
Svm and its implementation technique smo can be used for image retrieval ; however , they were originally developed for dealing with two - classification problem , so a binary tree and a matrix for classification are constructed for solving multi - classification problem . feature vectors can be com 因为svm只能够用于两类分类问题,本文构建了二叉树分类器,将svm技术扩展到多类别分类领域当中;利用前述的图像颜色特征、纹理特征和形状特征作为输入向量,通过训练得到支持向量,构建多类分类函数,进行图像检索。