pca人脸识别算法matlab代码-ML-K-Means_Clustering_and_PCA-MATLAB:此仓库使我们实现了K-means

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pca人脸识别算法matlab代码机器学习(MATLAB) - k均值聚类和主成分分析 斯坦福大学的机器学习课程。 介绍 我们将实现K-means聚类算法并将其应用于压缩图像。 并将使用主成分分析来找到面部图像的低维表示。 环境 macOS Catalina(版本10.15.3) MATLAB 2018 b 数据集 ex7data1.mat ex7data2.mat ex7faces.mat 此仓库中包含的文件 ex7.m-用于K-means聚类的Octave / MATLAB脚本 ex7_pca.m-PCA的Octave / MATLAB脚本 ex7data1.mat-PCA的示例数据集 ex7data2.mat-K均值的示例数据集 ex7faces.mat-面Kong数据集 bird_small.png-示例图像 displayData.m-显示存储在矩阵中的2D数据 drawLine.m-在现有图形上画一条线 plotDataPoints.m-K均值质心的初始化 plotProgresskMeans.m-绘制K-means的每一步 runkMeans.m-运行K-means算法

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