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 Fa
cluster-1.50.tar
- 数据挖掘聚类算法,kmeans,HC,PCA, SOMs-Data mining clustering algorithm, kmeans, HC, PCA, SOMs
kmeans
- kmeans是什么?pca 聚类方法,希望有用-what is kmeans algorithm?
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.