搜索资源列表
K_average
- 模式识别的经典算法之一，动态聚类的k均值算法，采用matlab进行编程，并对分类进行了画图分析。-the classic pattern recognition algorithms, dynamic clustering algorithm k mean using Matlab programming, as well as classification of the class analysis.
speecher_identification
- 通过语音mfcc特征参数提取采用k均值算法实现说话人识别功能
k-means
- k均值算法，基于两维的
Kmeans
- 基于粗糙熵和K-均值聚类算法的图像分割 基于粗糙熵和K-均值聚类算法的图像分割
K_Average
- K均值算法支持向量机,很使用可靠,看了一定不会后悔的
speaker1PGMM
- 说话人识别GMM模型训练MATLAB程序，需要和voicebox配合使用，使用voicebox提取MFCC和k均值分类，这是GMM说话人识别模型的训练程序。-Speaker Recognition GMM model training MATLAB program used in conjunction with and voicebox, voicebox extract MFCC and k-means classification, which is a GMM speaker recog
kjunzhijulianC++
- c++编写的程序，用K均值聚敛的算法，相当的方便。-c++ preparation procedure, using K-means algorithm amassed a considerable convenience.
hfs259(1)
- 这是C#下编译通过的K均值聚类算法的一个版本，可以应用于遥感图像的非监督分类-K c-mean class two
kmean
- 用c语言写的k均值聚类，代码简单，易懂，可以拿来直接调用-Language written by c k means clustering, the code is simple, easy to understand, could be used to directly call
KMeansCluster
- k均值聚类的VC++实现，适合语音等方面聚类之用-k means clustering of VC++ implementation of voice, etc. for use in cluster
mean-K-KPCA
- 通过核 K- 均值聚类的方法对语音帧进行聚类 , 由于聚类的中心能够很好地代表类内的特征, 用中心样本帧取代该类, 减少了核矩阵的维数, 然后再采用稀疏 KPCA方法对核矩阵进行特征提取。-Through the nuclear K-means clustering method for clustering of speech frames, the cluster center can be a good representative of the class characteristics
kmean
- 对语音信号的特征参数的K均值聚灯函数的MATLAB实现-voice kmeans
GA
- 基于K均值聚类的遗传算法，改进k均值的遗传算法-Genetic Algorithm
newwork
- K均值算法是一种常用的聚类算法，在Envi软件中分类可用到，该文档是isodata算法的设计思路与算法设计，引用百度文库。-k-means algorithm is a popular clustering algorithm, classification Envi software available to the document isodata algorithm design ideas and algorithm design, and reference Baidu library
K-means
- 调用GDAL库实现模式识别的K均值和ISODATA算法，对图像的分类-Call GDAL library implementation of K-means and ISODATA algorithms pattern recognition, image classification
DM_YeDan
- KNN(K最近邻)分类算法以及K-means(K均值)聚类算法是应用广泛的两种算法。本代码是在VS2010环境下，用 C++语言在基于KNN及K-means算法下，实现了对Iris数据集的分类与聚类。-KNN (K nearest neighbor) classification algorithm, as well as K-means (K mean) clustering algorithm is widely used two algorithms. The code VS2010 en
K-mean-clustering-algoritm
- k均值聚类算法，帮助学习、使用，欢迎下载、-k-means clustering algorithm to help learn, use, welcome to download,
DRLSE_v0
- 用于图像分割，是K均值的一种改进形式，较好地分割了图像-for image segmentation
matlab-bian-ma
- matlab源代码 包括K均值聚类 鱼群算法 模拟退火 蚁群算法 端点检测等-matlab source code, including K-means clustering algorithm simulated annealing ant colony algorithm fish endpoint detection
kmeans_segment
- 利用K均值进行图像分割，无需利用“苹果为红色”这个先验知识，而只需利用图像本身的特征——前景与背景区别较明显-The use of K-means image segmentation, without the use of " red apple" This a priori knowledge, and simply use the characteristics of the image itself- the more obvious differences betwe