搜索资源列表
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
gdp
- 关于数据挖掘与隐私保护的源代码及论文，主要用到k-means的聚类分析-About Data Mining and Privacy Protection of the source code and papers, mainly used k-means clustering analysis
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
code
- K-MEANS以及层次聚类算法 只要加入到工程就好使了 基本的聚类算法-K-MEANS and added to the hierarchical clustering algorithm works just fine so long as the basic clustering algorithm
src
- 实现数据挖掘的十大算法之一K-Means算法的程序代码-One of the top ten data mining algorithm K-Means algorithm code
ColorImageSegmentation
- Segmentation of color images using k means clustering.
kmeans
- k means matlab algorithm
K_Mean_Java
- K - Means algorithms in java code
test3
- K-means聚类算法实现策略源代码实现，可以聚类分析一维数据-K-means source programe
CPPkmeans
- 用C++汇编语言编写的K均值聚类算法，其中包括输入文件的编写格式-C++ written in assembly language using K-means clustering algorithm, including the preparation of the input file format
PG_BOW_DEMO-master
- 基于BOW模型的图像分类,其中包括K-means聚类等分类算法-BOW model-based image classification
GMM
- k-means下的GMM训练模型，文档中包含源文件和头文件，详细介绍了如何用GMM去你和数据-GMM Model used by k-means and EM,
k-means
- mapreduce实现聚类算法KMeans-mapreduce KMeans
kmeans
- Algorithm k-means is a simple iterative clustering algorithm, which divides the set of data to a user-specified number of clusters, k. The algorithm is simple to implement and run relatively fast, easily adaptable and common in practice. It is his
drmf_export
- distanc vector analysis motion algorithm for k means data
SCS_kmeans_mri
- The program is done by using k-means clustering method. We first read the image and then by assigning the cluster values we find distance and then updating it and shows the output
Arithmetic
- Aprior算法，Fp树算法，K均值，k中心点聚类算法，都可实现-Aprior algorithm, Fp tree algorithm, K-means, k center clustering algorithm can be realized
kmeans
- k-means is a algorithm for make unsupervised learning, which use a vector, value k for create the clustering
uv865
- 已经调试成功.内含m文件，可直接运行，基于matlab平台实现,基于K均值的PSO聚类算法。- Has been successful debugging. M contains files can be directly run, Based on matlab platform, K-means clustering algorithm based on the PSO.
cPP
- C++简单实现K-Means聚类算法 (2,10), (2,5), (8,4), (5,8), (7,5), (6,4), (1,2), (4,9), (7,3), (1,3), (3,9) （红色的表示初始所选的中心点） K-means算法介绍可参考其他资料或书籍。-C++ simple implementation of K-Means clustering algorithm(2, 5), (2, 5), (8,4), (5,8), (7,5), (6,4), (1,2), (