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K-均值聚类算法
- K-均值聚类算法的matlab源程序,K-均值聚类算法的matlab源程序
KMean 模式识别中最经典的K均值聚类算法
- Matlab语言编写,模式识别中最经典的K均值聚类算法。-KMEAN algorithm
KMeansJava
- 利用Java实现的K-均值算法,K-Mean 分群法是一种分割式分群方法,其主要目标是要在大量高纬的资料点中找出 具有代表性的资料点;这些资料点可以称为群中心,代表点;然后再根据这些群中心,进行后续的处理,可用于数据挖掘中的聚类分析-Java implementation using K-means algorithm, K-Mean grouping method is a fragmented grouping method, whose main goal is to a large nu
kmeans
- 基于matlab的图像k均值算法,实现对一副彩色图像进行分割。-Matlab image based on k means algorithm, to realize a color image segmentation.
demo
- 实现数据挖掘的几个算法,包括模糊聚类,K均值,以及K近邻等聚类算法-Some of the implementation of data mining algorithms, including fuzzy clustering, K-means, as well as neighbors, such as clustering algorithm K
moshi
- 几个模式识别的作业程序,自己写的。望指教哦,内容有感知器算法、多类感知器算法以及K均值算法-Several pattern recognition procedures, wrote it myself. Advice Oh look, the contents of perceptron algorithm, multi-sensor algorithm, as well as K-means algorithm
k-means
- 这个文件实现了一维数据的K-均值聚类算法,可以直接运行,但不能处理多维的-This file implements a one-dimensional data, K-means clustering algorithm can be directly run, but you can not deal with multidimensional
kmeans
- k均值图像分割,经典的图像分割方法,算法简单,效果好。-k-means image segmentation
KMeansClusterConsole
- K均值聚类算法,取前k个点为初始聚类中心,然后进行迭代聚类-K means clustering algorithm, fetch the first k points as initial cluster centers, then the iterative clustering
k-meams(sourcecode)
- 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
K-Mean
- 遥感影像K均值分类算法,针对bmp彩色图像。VC++6.0编程实现。-K means of remote sensing image classification algorithm for bmp color images. VC++6.0 programming.
cluster
- k均值聚类算法源码(matlab) k均值聚类算法源码(matlab)-k-means clustering algorithm source code (matlab) k-means clustering algorithm source code (matlab)
K-Means
- 较简单的KMeans聚类算法实现,编程语言matlab-Clustering KMeans relatively simple algorithm, programming language matlab
K_average
- k均值聚类或者成为均值聚类,用于对各个数据进行分类-k-means clustering or a means clustering for the classification of the various data
200532590150
- 实现了二维数据的K均值算法以及ISODATA分类算法-Achieve a two-dimensional data, as well as K-means algorithm ISODATA classification algorithm
51622445texturepinyuA2
- K均值聚类算法 由于对纹理图像使用灰度共生矩阵分割效果不明显 因此该算法使用图像频域进行处理-K-means clustering algorithm because of the texture image segmentation using the gray co-occurrence matrix effect was not obvious, therefore use the algorithm for processing images in frequency domain
109201305K
- K均值聚类算法 对图像颜色进行聚类 然后对图像分割-K-means clustering algorithm to cluster the color image segmentation and then
K-value
- 综合了数据挖掘的均值算法和中值算法,带有一个小的测试数据集合-data mining algorithm intergrated
K-meansNB
- :将K—means算法引入到朴素贝叶斯分类研究中,提出一种基于K—means的朴素贝叶斯分类算法。首先用K— me.arks算法对原始数据集中的完整数据子集进行聚类,计算缺失数据子集中的每条记录与 个簇重心之间的相似度,把记 录赋给距离最近的一个簇,并用该簇相应的属性均值来填充记录的缺失值,然后用朴素贝叶斯分类算法对处理后的数据 集进行分类。实验结果表明,与朴素贝叶斯相比,基于K—means思想的朴素贝叶斯算法具有较高的分类准确率。-: K-means algorithm will
K-means.m
- K-mean均值算法的matlab功能实现-K-means to achieve the matlab function