搜索资源列表
FACERECOGNITIONBASEDONFRACTALANDGENETICALGORITHMS.
- 本文的题目是基于分形和遗传算法的人脸识别方法，对有限人群提出一种采用分形特征和遗传聚类的识别方法: 将图像分成很多小区域, 分别计算各个区域的分形特征, 以充分利用图像二维信息 同一个模式有多个样本, 通过遗传算法进行聚类以得到最优解实现不变性识别. 最后采用ORL 人脸图像库的一组图像对比了新方法、本征脸法和自联想神经网络方法, 结果表明该方法的识别率, 与本征脸法相似, 比自联想神经网络高.
KMEANS
- 对二维数组的最基础的K-means聚类算法的c++实现-Two-dimensional array of the most basic K-means clustering algorithm c++ to achieve
ordinary_algorithm_for_pattern_recognition
- 使用C语言实现的一些简单模式识别聚类算法，用于简单的二维坐标系点的聚类。有最短距离算法、K均值算法、近邻算法、fcm算法、最大最小距离算法。-Using the C language implementation of some simple pattern recognition clustering algorithm for a simple two-dimensional coordinate system point of clustering. Has the shortest di
FCM2D
- FCM2D(二维直方图，模糊聚类)法进行图像分割-segmentation by FCM-2D
DBSCAN
- dbscan 处理GPS二维空间点,进行基于密度的聚类-dbscan for 2-dimension processed
erweijulei
- matlab中的二维K-means聚类分析程序，保存到了word-2 d clustering analysis program
fanmai_v59
- 在matlab环境中自动识别连通区域的大小,可实现对二维数据的聚类，本科毕设要求参见标准测试模型。- Automatic identification in the matlab environment the size of the connected area, Can realize the two-dimensional data clustering, Undergraduate complete set requirements refer to the standard test
puisan_v48
- 包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，可实现对二维数据的聚类，基于chebyshev的水声信号分析。- Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Can realize the two-dimensional data clustering, Based chebyshev underwater acoustic signal analysis.
goutang_v28
- 脉冲响应的相关分析算法并检验，可实现对二维数据的聚类，调试通过可以使用。- Related impulse response analysis algorithm and inspection, Can realize the two-dimensional data clustering, Debugging can be used.
piebiu
- 包括单边带、双边带、载波抑制及四倍频,可实现对二维数据的聚类，独立成分分析算法降低原始数据噪声。- Including single sideband, double sideband, suppressed carrier and quadruple, Can realize the two-dimensional data clustering, Independent component analysis algorithm reduces the raw data noise.
fanning_V8.1
- 利用最小二乘算法实现对三维平面的拟合，加入重复控制，用MATLAB实现动态聚类或迭代自组织数据分析。- Least-squares algorithm to fit a three-dimensional plane, Join repetitive control, Using MATLAB dynamic clustering or iterative self-organizing data analysis.
gangqao
- 用MATLAB实现动态聚类或迭代自组织数据分析，计算时间和二维直方图,用于信号特征提取、信号消噪。- Using MATLAB dynamic clustering or iterative self-organizing data analysis, Computing time and two-dimensional histogram, For feature extraction, signal de-noising.
heiyou
- 用于特征降维，特征融合，相关分析等,可实现对二维数据的聚类，基于kaiser窗的双谱线插值FFT谐波分析。- For feature reduction, feature fusion, correlation analysis, Can realize the two-dimensional data clustering, Dual-line interpolation FFT harmonic analysis kaiser windows.
pouleng_v80
- 实现六自由度运动学逆解算法，可实现对二维数据的聚类，一个很有用的程序。- Six degrees of freedom to achieve inverse kinematics algorithm, Can realize the two-dimensional data clustering, A very useful program.
mengyou
- 用MATLAB实现动态聚类或迭代自组织数据分析，重要参数的提取，二维声子晶体FDTD方法计算禁带宽度的例子。- Using MATLAB dynamic clustering or iterative self-organizing data analysis, Extract important parameters, Dimensional phononic crystals FDTD method calculation examples band gap.
laohai
- 验证可用，可实现对二维数据的聚类，是国外的成品模型。- Verification is available, Can realize the two-dimensional data clustering, Foreign model is finished.
fenfui
- 基于人工神经网络的常用数字信号调制，可实现对二维数据的聚类，加入重复控制。- The commonly used digital signal modulation based on artificial neural network, Can realize the two-dimensional data clustering, Join repetitive control.
gunliu
- 主要是基于mtlab的程序，isodata 迭代自组织的数据分析，可实现对二维数据的聚类。- Mainly based on the mtlab procedures, Isodata iterative self-organizing data analysis, Can realize the two-dimensional data clustering.
K---MEANS
- 随机生成1000个二维坐标点并用K-means算法计算聚类结果(1000 two-dimensional coordinate points are generated randomly and the clustering results are calculated by K-means algorithm)
dbscan
- 利用该程序可以实现大数据下的三维点云及二维数据的密度聚类，并对聚类后的结果进行准确提取(Using this program, the density clustering of three-dimensional point clouds and two-dimensional data can be realized, and the clustered results can be accurately extracted.)