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9552010E202
- This paper presents a new cluster validity index for nding a suitable number of fuzzy clusters with crisp and fuzzy data. The new index, called the ECAS-index, contains exponential compactness and separation measures. These measures indicate ho
Kmeans
- 使用Java实现K-means（C均值）聚类算法-Using Java to achieve K-means (C mean) clustering algorithm
k_means
- k均值聚类算法，使各个样本与所在类均值的误差平方和达到最小，并且附有显示程序-k-means clustering algorithm, where the class so that each sample and the mean squared error to a minimum, and with the display program
FCMdemo
- 用模糊K均值（FCM）的方法对图像进行分类-fuzzy c mean clustering (FCM),segmentation
fun_traindic_kmeans
- kmeans 聚类算法，主要用来对一堆数据形成他们的码本-k-means clustering is a method of vector quantization originally from signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which ea
Untitled
- k-mean算法，使用matlab工具箱工具对图像进行聚类分割。-k-mean algorithm, using matlab clustering toolbox tool for image segmentation.
Untitled2
- k-mean算法，使用matlab工具箱工具对图像进行聚类分割。-k-mean algorithm, using matlab clustering toolbox tool for image segmentation.
k_mean
- k-mean算法实现，总要是完成数据的聚类，寻找中心点的程序！-k-mean algorithm, if the completion of the total clustering of data, find the center of the program!
FCM
- 自己实现的，模糊C均值聚类的代码，在K-mean上添加了隶属度矩阵。注释详细，方便理解算法步骤-my implementation, Fuzzy C-Means clustering code in the K-mean adding a membership matrix. Notes detailed, easy to understand algorithm steps
tiqubeijing
- 对叶片进行预处理和提取部分特征：1.均值去噪 2.k均值聚类提取复杂背景下的叶子图片 3.填充孔洞 4.去叶柄 5.提取轮廓 6计算纵横轴比、面积凹凸比、周长凹凸比、球形性、圆形性、偏心率、形状参数和矩形度等特征值并进行画图。- Pretreatment of leaves and extract some of the characteristics: a mean denoising 2.k means clustering leaf extract complex backgro
kmeans(cp2Bp2B)
- kmeans聚类算法实现图像分割， 基于K-MEAN的图像分割,方便实用，对于图像处理的研究生很有参考价值的！-kmeans clustering algorithm for image segmentation, image segmentation based on K-MEAN, convenient and practical, for image processing graduate of great reference value!
K_average
- K-均值聚类算法,基本算法代码，算法的目的是使各个样本与所在类均值的误差平方和达到最小。-The purpose of K-means clustering algorithm, the basic algorithm code, the algorithm is to make the class where each sample mean squared error is minimized.
KMeans
- k-Mean 聚类,是聚类方法中运用最广泛的一种聚类算法-K-means clustering
kmeans
- k-means clustering is a method of vector quantization, originally signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the clu
k_mean
- k-mean data clustering
k_means
- K-mean 算法是 J.B.MacQueen 在 1967 年提出的，是到目前为止应用最广泛最成熟的一种聚类分析方法。因该算法具有简单快速、适于处理大数据集等优点，目前，已被广泛应用于科学研究和工业应用中。-K-mean algorithm is JBMacQueen proposed in 1967, is by far the most mature and most widely used of a clustering analysis. Because the algorithm i
kmo
- k-means clustering is a method of vector quantization, originally signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the clu
Kmeans1
- 利用K-mean的方法对样本进行聚类，只需要输入训练样本的地址和所要聚类的个数就可以完成聚类-The method of using K- mean to clustering samples, only need to input the training sample address and the number of clustering，and then it can be completed by clustering
K-means-cluster
- k-means算法是一种动态聚类算法，基本原理如下[24]：首先预先定义分类数k，并随机或按一定的原则选取k个样品作为初始聚类中心；然后按照就近的原则将其余的样品进行归类，得出一个初始的分类方案，并计算各类别的均值来更新聚类中心；再根据新的聚类中心对样品进行重新分类，反复循环此过程，直到聚类中心收敛为止。-K- means algorithm is a dynamic clustering algorithm, the basic principle of [24] as follows: fi
kingjao
- 基于K均值的PSO聚类算法,计算多重分形非趋势波动分析matlab程序,均值便宜跟踪的示例。- K-means clustering algorithm based on the PSO, Calculation multifractal detrended fluctuation analysis matlab program, Example tracking mean cheap.