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kmeans
- matlab源码关于模糊K均值聚类算法，适合大家下载研究学习-matlab source code on the fuzzy K-means clustering algorithm, suitable for everyone to download research study
Kjunzhijulei
- 使用k均值算法对多个数据集进行分类，已测试通过，简单易懂-classification to many datasets using k-means algorithm ,simple and easy-understanding.
SNFAP
- 这是基于吸引子传播算法的改进，采用svd技术，还有半监督思想，有效提高聚类效果-K-nearest neighbor algorithm based on neural networks, and k-means for effective integration and improvement, improved k-means algorithm
clarify-PSO
- 协同PSO算法是运用协同组合方法，采用K均值来分类，PSO辅助来实现聚类分析-PSO algorithm is the use of collaborative synergistic combination of methods, the use of K-means to classify, PSO assisted to achieve clustering analysis
Machine_Learning
- 包括无监督和监督的机器学习技术 • K-means and other clustering tools • Neural Networks • Decision trees and ensemble learning • Naï ve Bayes Classification • Linear, logistic and nonlinear regression-Highlights include unsu
upload
- The attachment consists of a source code that performs malarial segmentation using k-means clustering.It also contains HUI conversion of an malarial image.Water shed algorithm applied on a cel image , and detection of water ridge lines for dental x r
K_MEANS_v2.1
- K MEANS VERSİ ON NEW CLASFİ CATİ ON
shengwenshibie
- 声纹识别的实现，里面包含一些声纹的数据，用的的12Mel频谱倒谱系数，然后应用的是模糊K均值举了你算法构成的码本，识别在小样本情况下非常高-Voiceprint identification of implementation, which contains some of the voiceprint data, with the 12Mel spectrum Cepstral, and then apply the fuzzy K-means algorithm you gave codeb
k12
- k-means 算法接受输入量 k ；然后将n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。-K- means algorithm accept input k Then could be divided into k n data object clustering in order to make the clustering obtained
fuzzy-control
- 模糊控制的程序。一，对样本进行聚类分析，以此来确定模糊规则个数。二，利用K-means法对样本聚类。三，参数修正过程。-The example of fuzzy control
Kmeans
- K means implementation
Kmeans
- K-means聚类算法的java实现。一个类，可以直接调用。-K-means clustering algorithm implemented by java.you can use it directly in your coad.
classify_su
- K-均值算法与聚类算法以及实现了简单的识别功能-K-means clustering algorithm and the realization of a simple recognition
fuzzy_k_means
- MATLAB 数据挖掘算法，fuzzy-K-means聚类算法源-MATLAB data mining algorithms, fuzzy-K-means clustering algorithm source
matlab
- 聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有
cluster-toolbox
- 聚类工具箱,可以实现k-means，fuzzy c-means，agglomerative (hierarchical) clustering等聚类-cluster toolbox
FuzzyCMeansClustering
- algorithm for fuzzy-k means and it implementation
kmeans
- 数据挖掘中经典算法——K均值聚类算法的C语言实现-K-means algorithm in data mining
assn9_Kmeans
- iMPLEMENTATION OF K-MEANS ALGORITHM ON IMAGE IN MATLAB DOWNLOAD AND ENJOY
clustering-on-matlab-kmeans
- 很好的应用在聚类上的关于K-MEANS算法，应用平台是MATLAB，算法简单明了，目的清晰，结果很好。-Good application in clustering on K-MEANS algorithm, application platform is MATLAB, the algorithm is simple and clear, the purpose of clarity, the result is very good.