搜索资源列表
wine
- pca-kmeans聚类 先将数据(wine,uci数据集)降维处理，在进行聚类-pca-kmeans clustering use the data of uci:wine.
PCA
- 主成分分析方法通过建立两个主成分的二位图，对数值特异点的剔除，减少数据处理中无关项的干扰，-Free Source Code for Image segmentation and Extraction malic: A Realtime Face Recognition System Source Code Face Detection C++ Library with Skin and Motion Analysis Face Recognition
cluster-1.50.tar
- 数据挖掘聚类算法，kmeans，HC，PCA， SOMs-Data mining clustering algorithm, kmeans, HC, PCA, SOMs
PCAKTest
- 本人VC编写的根据PCA和KMEANS思想进行差值图像聚类处理，处理效果与MRF类似，很好用。-VC prepared according to PCA and K MEANS ideological difference image clustering process, the treatment effect with MRF is similar to good use.
Kmeans-and-PCA
- K—mean分类和主成分分析法的应用实例，很明晰的讲解实例，非常适合算法应用的学习-Application examples Kmean classification and principal component analysis, it is clear to explain instance, very suitable learning algorithm
AnomalyDetection-master
- 机器学习算法中异常检测算法（PCA、Kmeans）-Machine learning algorithms in anomaly detection algorithm
machine-learning-ex7
- 吴恩达机器学习课程，第八周作业，详解如何实现PCA以及kmeans(Andrew NG machine learning course, eighth weeks of assignment, detailed how to implement PCA and kmeans)
机器学习常用方法
- 机器学习常用方法的python实现，包括PCA，随机森林，决策树，层次聚类，kmeans，KNN，线性感知机等(Python implementation of common machine learning methods, including PCA, random forest, decision tree, hierarchical clustering, kmeans, KNN, linear perceptron, etc.)
遥感影像变化检测方法
- 三种常用的遥感影像变化检测方法，包含模糊C均值，模糊局部信息C均值，PCA-Kmeans