搜索资源列表
K-means
- 1、K-means划分聚类； 2、以EXCEL作为数据源； 3、图形显示结果-1, K-means clustering divided 2 to EXCEL as a data source 3, graphics display the results
K-MEANS
- 数据挖掘，K-means源码，数据集为iris-Data mining, K-means source code for the iris data set
k-means
- java实现的k-means算法，具有可视化界面，可以作为数据挖掘的作业处理。-java implementation of the k-means algorithm with a visual interface that can handle a data mining operation.
k-means
- 聚类方法中的K-means实现，用matlab语言实现的聚类-Clustering of K-means implementation of the cluster with matlab language
k-means(java)
- k-means算法是基于划分的聚类方法，本算法简单，便于理解，以可视化界面的形式将结果展示出来。-k-means clustering algorithm is based on the division method, this algorithm is simple and easy to understand visual interface to the form of the results.
K-means
- 典型的K均值聚类方法，用matlab编写，有几个文件，大家可以参考参考。-K-means clustering methods typically used matlab write, there are several files, you can refer to the reference.
K-Means
- k-means 聚类方法，用c++实现。-k-means,a method of clustering, implemented in c plus plus language.
K-means
- k-means 算法 step1 初始化K个质心 step2 将所有的点分配给最近的质心 step3 更新质心 step4 若质心都没用变化,则停止,否则返回step2 -k-means algorithm is initialized step1 step2 K a center of mass of all the points assigned to the nearest centroid centroid
k-means
- 数据挖掘算法源代码 k-means聚类算法的C#代码-Source code data mining algorithms k-means clustering algorithm C# code
GA-k-means
- GA-k-means算法 基于遗传算法的k_means聚类方法的研究(33-48)-GA-k-means algorithm
k-means
- K-means算法是最为经典的基于划分的聚类方法，是十大经典数据挖掘算法之一。K-means算法的基本思想是：以空间中k个点为中心进行聚类，对最靠近他们的对象归类。通过迭代的方法，逐次更新各聚类中心的值，直至得到最好的聚类结果。-K-means algorithm is based on the division of the classic clustering method, is ten classic one of data
k-means
- 基于K-means聚类算法的社团发现方法 先定义了网络中节点关联度,并构建了节点关联度矩阵, 在此基础上给出了一种基于 K-means聚类算法的复杂网络社团发现方法。 以最小关联度原则选取新的聚类中心, 以最大关联度原则进行模式归类,直到所有的节点都划分完为止, 最后根据模块度来确定理想的社团数-K-means clustering algorithm based on the association discovery T
Non-Local-Means
- 本人收集的Non-local Means方面的的论文，里面有WOR版的哦，希望对大家有用。-Image Denoising papers by the Non-local Means Algorithm，
K-Means
- K-means 算法的一种C# 实现,数据挖掘聚类算法-K-MEANS ALGORITHM
K-MEANS-MATLAB
- 用matlab7.0编写的k均值算法，参数可调节，很好用-K-MEANS MATLAB
K-Means PCA降维
- K-Means算法,不要求建立模型之后对结果进行新的预测，没有相应的标签，只是根据数据的特征对数据进行聚类。主成分分析降维对数据进行可视化操作,对features进行降维.(K-Means algorithm does not require the establishment of the model after the new prediction of the results, there is no corresponding
k-means
- 此种k-means 算法可以快速的对随机产生的随机数据，进行分类，而且分类的效果比较好，效果直观。(This kind of k-means algorithm can quickly classify randomly generated random data and classify it, and the classification effect is better and the effect is intuitive.)
k-means for clustering
- k means for clustering. v v v important
1、K-means学习
- K-means算法MATLAB仿真，利用一副图像作为数据实现K聚类算法仿真(K-means algorithm, MATLAB simulation)
k-means-image-segmentation-master
- k-means 聚类和分割的图像处理方法(k-means and segement image process)