搜索资源列表
kmeanforvoice
- K-MEAN:经典K均值算法,适用领域:语音识别,图像识别
kMeansCluster
- 这个程序主要讲述了数据挖掘中K均值算法的应用
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
kmeans聚类算法源码
- k均值聚类算法源码,比较经典,无解压密码-kmeans clustering algorithm source code,comparatively classical,no password for unzip
KC.tar
- 是K均值算法的一个Linux下的编译的程序,用标准C++编写的-K-means algorithm is a Linux compiler procedures used to prepare the standard C
一种新的聚类分析距离算法
- K均值是一个预先知道类数的算法,需要具备专业知识,不现实。本文提出一个确定类数的方法。-K is a means to know in advance the number of categories algorithm, requires expertise and unrealistic. This paper presents a number of categories to determine the method.
hyperspectral-data-processing 高光谱数据处理基本算法
- 高光谱数据处理基本算法,异常点检测,端元提取,丰度图K均值聚类,PCA算法-anomalydetection endmemberExtraction Kmeansclustering by abundancemap PCA NAPCA
clustering.rar
- 图像分割算法之间的比较,比较前沿的放发,利用了kmeans和模糊K均值,Between the image segmentation algorithm compares the release cutting-edge hair, use a K-means and fuzzy kmeans
dataMining.rar
- 数据挖掘的软件,集成了关联规则、k-均值聚类、模糊聚类、k-中心点聚类四种算法,software of data mining
ImageClustering.rar
- 本程序实现了K均值(HCM)算法,ISODATA算法,模糊C均值(FCM),模糊阈值法等对遥感影像的分割。,This program implements K means (HCM) algorithm, ISODATA algorithm, fuzzy C means (FCM), fuzzy threshold law of remote sensing image segmentation.
simplefunc.rar
- 几个用matlab实现正向云发生器,k均值算法的程序,都已调试通过,some simple function
textureseg
- 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
FCM
- 模糊k均值算法 模糊k均值算法-fcm
PSO_K
- 毕设题目,基于K均值的PSO聚类算法,共享了。-Bi-based topic of the PSO-based K-means clustering algorithm, shared.
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-means
- K-means均值聚类算法,用C语言实现 k-均值聚类算法 -Means K-means clustering algorithm, using C language realization of k-means clustering algorithm
k-means
- k-均值聚类算法c语言版用于划分聚类,适合用于数据挖掘之中-k-means clustering algorithm c language version
kmeans-image-segmentation
- K-meansK均值聚类在无监督的情况下选择图像特征的算法-K-meansK means clustering in the case of unsupervised image feature selection algorithm
segmentation
- 基于K均值算法和互信息熵差的算法,可以有效地确定分类数,从而该算法对医学图像进行自动优化分割。-K means algorithm based on entropy and mutual information algorithms, can effectively determine the classification number, so that the algorithm for automatic optimization of medical image segmentation.
kmeans
- 快速K均值聚类图像分割算法源代码,能很好的实现图像的分割处理-Fast K-means clustering algorithm for image segmentation source code, can achieve very good to deal with image segmentation