搜索资源列表
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.
kdtree
- K-D树源码，不错的空间查找算法，在三维重建和匹配中应用较多！-KD tree source, good space search algorithm, in the three-dimensional reconstruction and matching the application of more!
meanks
- 这个应用程序是使用k均值聚类算法分割一个灰度图像。-This application is to use k-means clustering algorithms partition a gray image.
MatlabK-means
- 用matlab语言实现K-MEANS聚类算法-Matlab language used K-MEANS CLUSTERING ALGORITHM
unsupervisedClassification
- 非监督分类程序，MATLAB环境，采用K均值算法，通过初始聚类中心逐次迭代而得到所要分类，并输出分类后的图像。-Non-supervised classification procedures, MATLAB environment, using K-means algorithm, the initial cluster center through successive iterations to be classified, and the output classification im
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
numerical_analysis_homework
- (有源代码)数值分析作业,本文主要包括两个部分,第一部分是常微分方程(ODE)的三个实验题,第二部分是有关的拓展讨论,包括高阶常微分的求解和边值问题的求解(BVP).文中的算法和算例都是基于Matlab计算的.ODE问题从刚性(STIFFNESS)来看分为非刚性的问题和刚性的问题,刚性问题(如大系数的VDP方程)用通常的方法如ODE45来求解,效率会很低,用ODE15S等,则效率会高多了.而通常的非刚性问题,用ODE45来求解会有很好的效果.从阶次来看可以分为高阶微分方程和一阶常微分方程,高阶的
BruteSearch
- K-nearest neighbors 搜索 聚类时经常使用的一种方法 国外网站转载- The following utilities are provided: - Nearest neighbor - K-Nearest neighbors - Radius Search They al supports N-dimensions and wor
kmeans
- 这个应用程序是使用k均值聚类算法分割一个灰度图像。-This application is the use of k-means clustering algorithm partitions a gray-scale image.
colorimageretrivew
- 实现彩色图像显著区域提取，基于注意力机制，使用算法包括k-means,分割等。-salient region detection
kmeans
- This the code for vector quantization by using k-means-This is the code for vector quantization by using k-means
ClusteringToolbox
- 用于进行聚类分析的matlab工具箱，包括K-means、模糊聚类等。-Used for cluster analysis of the matlab toolbox.
COM_classify
- 内涵多种分类算法，K-means, fuzzyCMeans, clustertree... 解压缩后， 用matlab 的 set path 添加目录，在matlab中输入compact, 就可使用-The connotation of a variety of classification algorithms, K-means, fuzzyCMeans, clustertree ... decompress after matlab with the ' set path'
kmeans
- 数据挖掘中的K均值聚类算法的MATLAB的实现-k means clustering algorithm
MatlabFuzzyClusteringAnalysis
- 采用K- means 算法和FCM 算法实现对47 个城市竞争力的聚类分析-Using K-means algorithm and FCM algorithm to achieve the competitiveness of 47 cities in the cluster analysis
colorimagek_means
- 自己根据K-MEANS思想在MATLAB下实现的彩色图像分割算法程序，用最普通的语句实现，通俗易懂。可以直接用于对彩色细胞图像的分割，分割结果比较准确，-K-MEANS in accordance with their own ideas in MATLAB to achieve color image segmentation algorithm based on the procedures used to achieve the most common statement, user-fr
test_kMeansCluster.m
- K mean cluster matlab code
walkstraight
- 利用K均值聚类的方法实现人体的检测，混合高斯模型建立背景并实时更新-The use of K-means clustering method to achieve the human body detection, Gaussian mixture model to establish the background and real-time updates
zfk_example
- 聚类分析里的k均值（kmeans）算法的matlab实现，是老师即将出的书里，我给写的例子，大家看看吧。 -Where k-means cluster analysis (kmeans) algorithm matlab implementation, a teacher is leaving the book, I give examples of writing, we take a look at bar.
k_means
- k-means分类算法matlab 实现-k-means clasifier