Week8_3Program_K-Means Clustering and PCA编程解析

时间 2019-12-05

标签 week8 week 3program program means clustering pca 编程解析繁體版

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Week8_3Program_K-Means Clustering and PCA编程解析 1. ex7 流程分析 1.1 plotData 按照ex7.m中的流程走一遍python 2. 编程分析 2.1 Find closest centroids 0 / 30 计算公式: ||x(i)−μj||2 | | x ( i ) − μ j | | 2 X=(300x2) K=3 centroids

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1. [CS131] Lecture 10 Semantic Segmentation and Clustering
2. w6_2Regularized Linear Regression and BiasVariance编程解析
3. w4_2Multi-class Classification and Neural Networks编程解析
4. Week9_3Program_Anomaly Detection and Recommender Systems编程解析
5. Kernel Clustering: Density Biases and Solutions
6. BIRCH：Balanced Iterative Reducing and Clustering Using Hierarchis
7. PCA原理解析
8. [Scikit-learn] 2.3 Clustering - Spectral clustering
9. PCA(主成分分析)过程详解
10. Machine learning 第8周编程作业 K-means and PCA

>>更多相关文章<<