搜索资源列表
AP
- AP聚类算法是基于数据点间的 信息传递 的一种聚类算法。与k-均值算法或k中心点算法不同,AP算法不需要在运行算法之前确定聚类的个数。AP算法寻找的 examplars 即聚类中心点是数据集合中实际存在的点,作为每类的代表-AP clustering algorithm is based on the information transfer between data points of a clustering algorithm. K- and k-means algorithm
K-means
- K-means算法是硬聚类算法,是典型的基于原型的目标函数聚类方法的代表,它是数据点到原型的某种距离作为优化的目标函数,利用函数求极值的方法得到迭代运算的调整规则。-K-means clustering algorithm is hard, is a typical prototype-based clustering method objective function representative, which is a method of data points to a certain d
tengyan_v18
- 在matlab R2009b调试通过,表示出两帧图像间各个像素点的相对情况,基于欧几里得距离的聚类分析。- In matlab R2009b debugging through, Between two images showing the relative circumstances of each pixel, Clustering analysis based on Euclidean distance.
test
- 对于人类运行轨迹数据,将轨迹的停留点找到并进行聚类分析-For the trajectory of human data, will stay point trajectory find and cluster analysis
hangkie
- 计算一维光子晶体的透射特性和反射特性,复化三点Gauss-lengend公式求pi,可实现对二维数据的聚类。- Calculated transmission characteristics and reflection characteristics of the one-dimensional photonic crystals, Complex of three-point Gauss-lengend the Formula pi, Can realize the two-dimensio
bingfang_v24
- 实现六自由度运动学逆解算法,用MATLAB实现动态聚类或迭代自组织数据分析,表示出两帧图像间各个像素点的相对情况。- Six degrees of freedom to achieve inverse kinematics algorithm, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Between two images showing the relative circumstanc
jiefan
- 已调制信号计算其普相关密度,利用matlab GUI实现的串口编程例子,matlab小波分析程序,最小二乘回归分析算法,复化三点Gauss-lengend公式求pi,包括广义互相关函数GCC时延估计,与理论分析结果相比,用MATLAB实现动态聚类或迭代自组织数据分析。 - Modulated signals to calculate its density Pu-related, Use serial programming examples matlab GUI implementatio
K-menas
- 这个程序是给一组 c 点资料 X {x1, ..., xc} ,每一点都有 d 维;给定一个群聚的数目 k, 求其最好的聚类结果。-This procedure is to give a set of C point data X {x1,..., xc}, each point has d dimension given a number of clusters K, for its best clustering results.
muimeng_v23
- 二维声子晶体FDTD方法计算禁带宽度的例子,用MATLAB实现动态聚类或迭代自组织数据分析,表示出两帧图像间各个像素点的相对情况。- Dimensional phononic crystals FDTD method calculation examples band gap, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Between two images showing the rel
lanfen_v11
- 包括AHP,因子分析,回归分析,聚类分析,复化三点Gauss-lengend公式求pi,基于小波变换的数字水印算法matlab代码。- Including AHP, factor analysis, regression analysis, cluster analysis, Complex of three-point Gauss-lengend the Formula pi, Based on wavelet transform digital watermarking algorithm
outlier
- 离群点检测的算法,适应于MATLAB,包含关于距离和LOF的聚类算法-Outlier detection algorithm, adapted to MATLAB, including distance and LOF clustering algorithm
naigou
- 包括AHP,因子分析,回归分析,聚类分析,复化三点Gauss-lengend公式求pi,基于欧几里得距离的聚类分析。- Including AHP, factor analysis, regression analysis, cluster analysis, Complex of three-point Gauss-lengend the Formula pi, Clustering analysis based on Euclidean distance.
Ab201702125
- 1.随机的选取K个种子点作为初始聚类中心 2.然后求出所有的点到K个聚类中心的距离,找出离每个点最近的聚类中心作为该点的种群中心。 3.经过前两步就形成了K个点群,然后更新K个点群的中心。 4,重复步骤2和3直到满足一定的阈值。-wo zhidao zenme zuo
FCMCluster
- 模糊c-均值聚类算法 fuzzy c-means algorithm (FCMA)或称( FCM)。在众多模糊聚类算法中,模糊C-均值( FCM) 算法应用最广泛且较成功,它通过优化目标函数得到每个样本点对所有类中心的隶属度,从而决定样本点的类属以达到自动对样本数据进行分类的目的。- 模糊c-均值聚类算法 fuzzy c-means algorithm (FCMA)或称( FCM)。在众多模糊聚类算法中,模糊C-均值( FCM) 算法应用最广泛且较成功,它通过优化目标函数得到每个样本点
kei_fh85
- 包括AHP,因子分析,回归分析,聚类分析,现代信号处理中谱估计在matlab中的使用,复化三点Gauss-lengend公式求pi。- Including AHP, factor analysis, regression analysis, cluster analysis, Modern signal processing used in the spectral estimation in matlab, Complex of three-point Gauss-lengend the Fo
fei_v24
- 表示出两帧图像间各个像素点的相对情况,基于欧几里得距离的聚类分析,DC-DC部分采用定功率单环控制。- Between two images showing the relative circumstances of each pixel, Clustering analysis based on Euclidean distance, DC-DC power single-part set-loop control.
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), (
nai_v32
- 表示出两帧图像间各个像素点的相对情况,Matlab实现界面友好,用MATLAB实现动态聚类或迭代自组织数据分析。- Between two images showing the relative circumstances of each pixel, Matlab to achieve user-friendly, Using MATLAB dynamic clustering or iterative self-organizing data analysis.
Slic
- SLIC主要运用K-means聚类算法进行超像素的处理,聚类算法中的距离度量不仅仅包括颜色空间的颜色距离还包括像素坐标的欧氏距离。所以K-means聚类的中心点由五维向量组成。其中包括,记录LAB颜色空间下的像素以及该像素点的XY坐标,由于XY坐标不能和颜色空间直接进行计算,所以添加了一个紧密度的参数。(slic superpixelSLIC mainly uses the K-means clustering algorithm for ultra pixel processing, the
julei
- 多流形聚类代码,用于点云多流形聚类与线性子空间聚类(Manifold clustering code)