Search - k-mean clustering

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[matlab] MyKmeans DL : 0: 实现聚类K均值算法： K均值算法：给定类的个数K，将n个对象分到K个类中去，使得类内对象之间的相似性最大，而类之间的相似性最小。缺点：产生类的大小相差不会很大，对于脏数据很敏感。改进的算法：k—medoids 方法。这儿选取一个对象叫做mediod来代替上面的中心的作用，这样的一个medoid就标识了这个类。步骤： 1，任意选取K个对象作为medoids（O1,O2,…Oi…Ok）。以下是循环的： 2，将余下的对象分到各个类中去（根据与medoid最相近的原则）； 3，对于每个类（Oi）中，顺序选取一个Or，计算用Or代替Oi后的消耗—E（Or）。选择E最小的那个Or来代替Oi。这样K个medoids就改变了，下面就再转到2。 4，这样循环直到K个medoids固定下来。这种算法对于脏数据和异常数据不敏感，但计算量显然要比K均值要大，一般只适合小数据量。-achieving K-mean clustering algorithms : K-means algorithm : given the number of Class K, n will be assigned to target K to 000 category, making target category of the similarity between the largest category of the similarity between the smallest. Disadvantages : class size have no great difference for dirty data is very sensitive. Improved algorithms : k-medoids methods. Here a selection of objects called mediod to replace the center of the above, the logo on a medoid this category. Steps : 1, arbitrary selection of objects as K medoids (O1, O2, Ok ... ... Oi). Following is a cycle : 2, the remaining targets assigned to each category (in accordance with the closest medoid principle); 3, for each category (Oi), the order of selection of a Or, calculated Oi Or replace the consumption-E (Or)
Date : 2025-07-04 Size : 1kb User : 阿兜
[AI-NN-PR] k-meansgaijin DL : 0: 数据挖掘中的一个聚类算法k-means。-data mining clustering algorithm of a k-means.
Date : 2025-07-04 Size : 40kb User : 陈海山
[Special Effects] textureseg DL : 0: 用多尺度Gabor小波滤波器组实现纹理分割，其中聚类算法采用K均值聚类，本科毕业设计，省优秀-multi-scale Gabor wavelet，texture segmentation，k-mean clustering
Date : 2025-07-04 Size : 4.64mb User : 汪彪
[JSP/Java] 83390049kmeans_clustering DL : 0: k-means聚类算法的java代码实现-k-means clustering algorithm java code
Date : 2025-07-04 Size : 5kb User : arron
[Algorithm] kMean DL : 0: clustering的经典k-mean算法源程序，VB代码-clustering k-mean algorithm, in VB
Date : 2025-07-04 Size : 132kb User : danny
[Special Effects] Kmeans_grayimage DL : 0: 简单的灰度图像的K均值聚类分割，Matlab实现-gray image segmentation using K-means clustering by matlab.
Date : 2025-07-04 Size : 1kb User : 王成
[matlab] kmean DL : 0: k mean clustering in matlab
Date : 2025-07-04 Size : 1kb User : ruba
[Mathimatics-Numerical algorithms] k-meams(sourcecode) DL : 0: C#实现k均值文本聚类算法，文本聚类C#源程序，k-means聚类算法-C# to achieve k means clustering algorithm, document clustering C# source code, k-means clustering algorithm
Date : 2025-07-04 Size : 37kb User : 康卫
[matlab] kMeansCluster DL : 0: k mean clustering algo
Date : 2025-07-04 Size : 1kb User : bubun
[matlab] FuzzyKmeanclustering DL : 0: code for fuzzy k-mean clustering-code for fuzzy k-mean clustering..
Date : 2025-07-04 Size : 2kb User : ketan chaudhari
[AI-NN-PR] K-means DL : 0: 均值为K的聚类算法，是一种对聚类数据进行的最简单的算法，广泛应用在各种场合中。-K mean clustering algorithm for clustering data is the most simple algorithm, widely used in various occasions.
Date : 2025-07-04 Size : 47kb User : sunjianqing
[matlab] k-rbf DL : 0: 程序是基于K均值聚类的RBF代码，很好的一个例子。-K means clustering procedure is based on the RBF code, a good example.
Date : 2025-07-04 Size : 1kb User : 唐毅
[matlab] weighted_kmeans DL : 0: 用于实现weighted k-means算法，可以运行-It is used to perform weighted k-means clustering
Date : 2025-07-04 Size : 1kb User : ninhan
[MPI] K-mean-clustering-algoritm DL : 0: k均值聚类算法，帮助学习、使用，欢迎下载、-k-means clustering algorithm to help learn, use, welcome to download,
Date : 2025-07-04 Size : 30kb User : 为实
[Graph program] K均值聚类 DL : 0: K均值聚类算法图像分割，最传统的一种分割方法(K mean clustering segmentation)
Date : 2025-07-04 Size : 13kb User : 瞌睡虫醒了呀
[Special Effects] K-mean DL : 0: K-means算法是很典型的基于距离的聚类算法，采用距离作为相似性的评价指标，即认为两个对象的距离越近，其相似度就越大(K-means algorithm is a typical distance based clustering algorithm. The distance is used as the evaluation index of similarity, that is, the closer the distance between the two objects, the greater the similarity)
Date : 2025-07-04 Size : 13kb User : venshow
[OpenCV] K均值聚类在基于OpenCV的图像分割中的应用 DL : 0: 介绍了传统的图像分割与K-均值聚类算法分割，然后利用OpenCV函数将其实现，并介绍了OpenCV中图像分割相关的基本函数。(This paper introduces the segmentation of traditional image segmentation and K- mean clustering algorithm, then uses OpenCV function to implement it, and introduces the basic functions of image segmentation in OpenCV.)
Date : 2025-07-04 Size : 454kb User : 术道
[Mathimatics-Numerical algorithms] k均值聚类 DL : 0: 用VC++写的K均值聚类算法，可以直接使用(K mean clustering algorithm is written by VC++ , which can be used directly.)
Date : 2025-07-04 Size : 183kb User : gongshixin
[Mathimatics-Numerical algorithms] K-means DL : 0: 利用MATLAB实现K均值聚类算法，加深对该算法的理解。(We use MATLAB to achieve K mean clustering algorithm to deepen our understanding of the algorithm.)
Date : 2025-07-04 Size : 5kb User : WG_JNU
[Other] k均值聚类算法 DL : 0: 根据k均值聚类的原理，实现一些数字的聚类，但是具体类别数需要自己设置(Clustering of some numbers by K mean clustering)
Date : 2025-07-04 Size : 2.01mb User : fighter小皮皮

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