搜索资源列表
tycfgsmatlab
- matlab源程序： 用Fisher两类判别法对样本进行分类 对样本进行主成分分析 用最短距离算法的系统聚类对样本进行聚类 用二次完全式回归法估计一个因变量与两个自变量之间的关系 -matlab source: The Fisher discriminant method, two types of samples to classify the samples by principal component analysis system using the shortest
WeiFengYing-supporting-program
- 魏凤英的现代气候统计诊断与预测技术的fortran源代码，里边包括气候变化趋势分析的程序：线性倾向估计、滑动平均及一些趋势检验和函数；气候突变检测：滑动t检验、Cramer s法、Yamamoto法、Mann-Kendall法、Pettitt法Lepage法；气候序列周期的提取方法：功率谱、最大熵谱、交叉谱、多维最大熵、奇异谱分析、小波分析；以及EOF、主成分等等，总之熟悉这本书的同学，应该知道这本书的“强大”是做数理统计分析、及气象等必备的工具书啊，而且其程序，尤为宝贵！特此与大家分享-Wei
incremental_kpca
- 用核主成分分析算法进行的人脸识别，总的来说识别率还不错-Face recognition using the nuclear principal component analysis algorithm, on the whole pretty good recognition rate
pca
- 经典主成分分析法，实现高光谱图像的降维处理 -Classical principal component analysis, to achieve high spectral image dimensionality reduction
kernel_pca
- 核主成分分析法，用于高光谱图像的降维处理，效果较好-Kernel principal component analysis for hyperspectral image dimensionality reduction, better
LBPandPCA
- 为有效解决局部二元模式(LBP)在人脸识别特征提取时维数过高的问题，提出了一种结合LBP特征和主成分分析(PCA)的人脸识别方法．-To effectively solve the local binary pattern (LBP) feature extraction in face recognition problem of high dimensionality, we propose a combination of LBP features and principal compon
pca
- 基于主成分分析的人脸特征提取的MATLAB源代码，通过测试的-Principal component analysis based on human face feature extraction MATLAB source code, pass the test
online
- 主成分分析在线功能实现和用法，这里是源代码，代码详细，数据齐全-Principal component analysis of the implementation and usage of online features, here is the source code, the code in detail, the data is complete
Offline-Model
- 主成分分析离线功能实现和用法，这里是源代码，代码详细，数据齐全-Principal component analysis offline implementation and usage, here is the source code, the code in detail, the data is complete
PVC-(1)
- pvc主成分分析的matlab代码谁需要的自行下载 -the codes of pvc
pca
- 主成分分析算法，很经典的编写matlab的方式，极其类似系统函数-Principal component analysis algorithm, very classic written in MATLAB, very similar to the system function
pca-daima
- 近红外光谱主成分分析，适用于各类光谱定性和定量计算使用-Near Infrared Spectroscopy principal component analysis, applicable to all types of spectrum use qualitative and quantitative calculation
fastPCA
- 快速PCA变换。对样本矩阵进行快速主成分分析降维，输出降维后的K维样本特征向量组成的矩阵。-fast pca coad。
zijibianxiePCA
- 自己编写的PCA主成分分析法，希望能够帮助大家-I have written the PCA principal component analysis method, hoping to help everyone
ecauh
- 正确率可以达到98％，借鉴了主成分分析算法（PCA），最大似然（ML）准则和最大后验概率（MAP）准则。- Accuracy can reach 98 , It draws on principal component analysis algorithm (PCA), Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
qfnfy
- 是一种双隐层反向传播神经网络，借鉴了主成分分析算法（PCA），包括面积、周长、矩形度、伸长度。- Is a two hidden layer back propagation neural network, It draws on principal component analysis algorithm (PCA), Including the area, perimeter, rectangular, elongation.
2206
- IMC-PID是利用内模控制原理来对PID参数进行计算，分析了该信号的时域、频域、倒谱，循环谱等,借鉴了主成分分析算法（PCA）。- The IMC- PID is using the internal model control principle for PID parameters is calculated, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. It d
eu056
- 有CDF三角函数曲线/三维曲线图，最终的权值矩阵就是滤波器的系数，包括主成分分析、因子分析、贝叶斯分析。- There CDF trigonometric curve/3D graphs, The final weight matrix is ??the filter coefficient, Including principal component analysis, factor analysis, Bayesian analysis.
ct676
- 用于建立主成分分析模型，仿真效果非常好，利用matlab GUI实现的串口编程例子。- Principal component analysis model for establishing, Simulation of the effect is very good, Use serial programming examples matlab GUI implementation.
fie_sr06
- 线性调频脉冲压缩的Matlab程序,采用加权网络中节点强度和权重都是幂率分布的模型，用于建立主成分分析模型。- LFM pulse compression of the Matlab program, Using weighted model nodes in the network strength and weight are power law distribution, Principal component analysis model for establishing.