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matlab作业
- 模式识别一份很好的作业,包括线性分类器；最小风险贝叶斯分类器；监督学习法分层聚类分析；K－L变换提取有效特征,支持向量机-a very good operation, including linear classification; Minimum risk Bayesian classifier; Supervised learning method Hierarchical clustering analysis; K-L transform effective features, supp
pcaklm
- 图像处理领域最新的K-L变换后求主成分的程序。matlab文件。-image processing latest K-L transform PCA for the procedure. Matlab document.
KL2
- 本程序利用K-L变换已经K-L变换的最优压缩，建立分类器，并选择投影方向，画出投影过后的效果-This procedure has been the use of KL transform KL transform optimal compression, the establishment of classifier, and choose the direction of projection, drawn after the effect of projection
work_for_pattern_recognition
- 通过设计线性分类器；最小风险贝叶斯分类器；监督学习法分层聚类分析；K－L变换提取有效特征，设计支持向量机对给定样本进行有效分类并分析结果。-By designing a linear classifier minimum risk Bayes classifier supervised learning method hierarchical cluster analysis K-L transform to extract efficient features, designed to
KL
- matlab编写的K-L变换算法，实验数据为Iris，分类为BP算法，运行良好！-Matlab prepared by the KL transform algorithm, the experimental data for the Iris classified as BP algorithm, a good run!
markdal-software-white
- 使用基于K-L变换的特征选择方法,使原本4维的特征向量降至3维()