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PCA2D
- 2D PCA IS METHOD USED FOR IRIS AND FACE RECOGNITION AN INTERSETING METHOD
PCA
- 模式识别作业-完全自编仿真程序。先用PCA对IRIS数据集进行降维，然后用最小错误法对降维的数据进行分类。压缩包中既包括matlab源代码，又有自己写的报告，还有.MAT格式的IRIS数据集用作程序调用。程序有详细注释，很容易懂。最后结果输出到txt文件中。-Pattern recognition operations- completely self simulation program. First on the IRIS data set with PCA dimension reduct
PCA1
- 基于PCA的iris数据集分类，matlab实现，大家共同学习。-Iris data set the PCA-based classification, the Matlab implementation, we learn together.
PCA
- PCA基于Iris数据集，用于统计学习作业。是非常好用且鲁棒的方法。有利于学习统计学习PCA和matlab。-PCA based on Iris data set, used in statistical learning assignments.It is very convenient and robust method.Is advantageous to the study of statistical learning PCA and matlab.
LDA_PCA
- matlab编写的特征提取算法LDA和PCA，所用数据集为iris数据集-matlab prepared by the feature extraction algorithm LDA and PCA, the data set used for the iris data set