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k-means
- 此代码可以对图像很好的聚类，文件里面有原始图像，也有聚类后的图像，聚类的效果挺好的，大家可以看看(This code can make a good clustering of images. In the file, there are original images, and there are also images of clustering. The effect of clustering is good. You can have a look at it)
kmeanspp
- code for k-means with matlab
Image Classification Example
- python实现用SIFT+K-MEANS+SVM图片分类(Python implementation with SIFT + K-MEANS + SVM picture classification)
kmeans
- Scala实现多个特征量的k-means算法(K-means algorithm for implementing multiple feature quantities in Scala)
Fuzzzy kmeans
- this program is the traditional fuzzy k means algorithm in clustering that used in ECG classification comparison
machine-learning-ex7
- Andrew Ng Cousera 机器学习K-means勇于图像压缩 以及主成分分析PCA用在人脸识别，源代码以及说明文档。(Andrew Ng Cousera machine learning , the K-means clustering algorithm and apply it to compress an image. In the second part, you will use principal component analysis to find a low-dime
clustering-index
- 欢迎使用和评述此工具箱，您的意见是对我们工作的支持。 此工具适合于不同有效性指标的性能比较，改进代码用于不同的应用问题等等。 (1) NCT的内容 NCT包括4个外部有效性指标和8种内部有效性指标，编制的程序文件"validity_Index.m"用于调用它们 (2) 主文件 "mainClusterValidationNC.m" 的内容 主文件设计为如何使用PAM聚类算法、如何使用有效性指标和方法来估计聚类个数。(H
k-mean+k-medoids
- 机器学习中的两个基本算法，k-means 和k-medoids 通过学习英文课件，更好的理解算法内涵(Machine learning in the two basic algorithms, K-means and k-medoids through learning English courseware, better understanding of the algorithm connotation)
kmeans
- 有关K-means的小程序，可以直接导入数据作聚类，也可自动生产数据(K-means applet, you can directly import data for clustering, you can also automatically produce data)
kmeans-master
- K-means clustering algorithm
pres
- 三种分类器：决策树分类器，k-NN分类器和k-means分类器的运行时间以及运行准确率的比较。(Three kinds of classifiers: decision tree classifier, k-NN classifier and K-means classifier running time and accuracy comparison.)
K_Means_Cluster
- K-means 算法(K-means)
k-means-master
- K-means算法 matlab 确保运行成功(K-means matlab successful)
kMeans
- K-means 的python实现，源码，机器学习实战的第10章(Python implementation of K-means)
KMeans
- 基于matlab语言编译的用于实现聚类的k-means函数(K-means function compiled by MATLAB language for clustering)
kmeansimg
- k-means图像聚类，可用灰度图像处理(K-means image clustering)
classical-machine-learning-algorithm-master
- bayesian, k-means, knn, SVM, The Apriori algorithm, expectation-maximization(EM), C4.5, page rank, AdaBoost, CART
基于 K-means 聚类算法的图像区域分割
- 图像处理领域，基于 K-means 聚类算法的图像区域分割(Image processing domain, image region segmentation based on K-means clustering algorithm)
9-2--K-Means.ppt
- Teach you how to use k-means
Kmeans
- 算法思想：提取文档的TF/IDF权重，然后用余弦定理计算两个多维向量的距离来计算两篇文档的相似度，用标准的k-means算法就可以实现文本聚类。源码为java实现(Algorithm idea: extract the TF/IDF weight of the document, then calculate the distance between two multidimensional vectors by cosine theorem, calculate the similarity