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MATLABfuzzy-K-means
- MATLAB 数据挖掘算法,fuzzy-K-means聚类算法源代码,用于模糊聚类分析-MATLAB data mining algorithms, fuzzy-K-means clustering algorithm source code, Fuzzy clustering analysis for the
k-means(matlab)
- 关于k-means聚类算法的MATLAB实现
K-均值聚类算法C++编程
- K-均值聚类算法的编程实现。包括逐点聚类和批处理聚类。K-均值聚类的的时间复杂度是n*k*m,其中n为样本数,k为类别数,m为样本维数。这个时间复杂度是相当客观的。因为如果用每秒10亿次的计算机对50个样本采用穷举法分两类,寻找最优,列举一遍约66.7天,分成3类,则要约3500万年。针对算法局部最优的缺点,本人正在编制模拟退火程序进行改进。希望及早奉给大家,倾听高手教诲。-K-means clustering algorithm programming. Point by point, inc
k-means-segamen-method
- 本实验基于K-Means聚类算法思想实现了字符分割,因为车牌规定是7位的,所以K取7。另外本实验对K-Means算法进行了改进,充分考虑了初始点的设置及迭代结束条件。实验结果证明这种改进的K-Means算法实现车牌字符分割是快速、有效的。-In this study, K-Means clustering algorithm based on the ideology of the character segmentation, because the license plate require
聚类的matlab程序
- k-means聚类算法的matlab程序大全
聚类的matlab程序
- k-means聚类算法的matlab程序。
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
kmean
- 包括K-均值聚类算法的思想介绍,kmeans的MATLAB代码,c语言代码、c++代码。-Including the K-means clustering algorithm introduced the idea, kmeans of MATLAB code, c language code, c++ code.
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.
K-means_cluster
- 这是一个基于K-means的聚类算法,可用于网页信息聚类,例如电子产品的型号聚类等。-This is based on the K-means clustering algorithm, clustering can be used for website information, such as electronic products, such as the Model Cluster.
pso-clustering
- 基于粒子群的改进K均值聚类算法源代码。适用于MATLAB7.1。-Improved PSO-based K means clustering algorithm source code. For MATLAB7.1.
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_average
- matlab实现的k均值聚类算法,可以实现对大量数据的有效分类-matlab implementation of the k-means clustering algorithm, can achieve a large amount of data on an effective classification
K-Means
- 这是K-neans动态聚类算法的源程序,是人工智能领域很有用的一种聚类方法。-This is K-neans source dynamic clustering algorithm, the field of artificial intelligence are useful in a clustering method.
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
K-Means
- K-Means聚类算法 Matlab代码-K-Means
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
a
- 该代码是聚类算法的一种改进,是基于微粒群算法的k-means聚类算法-PSO based k-means clustering algorithm
k-Means
- K-Means聚类算法程序实现……源代码-K-Means clustering algorithm to achieve ... ... the source code program
IABC_KMC_test_on_Iris_wine_glass
- 改进的人工蜂群算法K均值聚类算法寻找全局最优解(Improved artificial bee colony algorithm K-means clustering algorithm to find the global optimal solution)