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kmean.m
- rbf神经网络k均值聚类分析程序，时间序列预测方面应用。程序简洁易懂。-rbf neural network k-means clustering analysis procedures, time series forecasting applications. The program easier to understand.
FCMGRNN
- 广义神经网络的聚类算法 网络入侵聚类分析说明-Generalized neural network clustering algorithm Network Intrusion clustering
k-means-iris
- 运用k-means算法对IRIS数据集进行聚类分析-K-means algorithm is appliled to do cluster analysis for IRIS dataset.
ISODATA
- 非监督动态聚类分析代码，根据孙继祥现代模式识别4.3写的代码-Unsupervised cluster analysis of dynamic code, according to the Sun-Xiang modern pattern recognition 4.3 write code
fuzzy
- 有关于电动汽车的模糊聚类控制，已经实现了聚类分析，非常有用-Fuzzy clustering on electric vehicle control, has achieved the clustering analysis, very usefu
test_01_Kmeans
- K_means聚类分析，内含1个图片的3维数据聚类分析例子-K_means cluster analysis
cluster
- 使用本章学习的K－平均算法，以颜色分量（或几何性状）作为坐标参数，对景象图进行聚类分析，要求最后的分类结果将路标（可能包括少量相似区域）聚类为一个模式类别。要求给出样本模式点，绘制坐标图（标出各个聚类中心的迭代移动轨迹），绘制算法框图，给出结论。并检查上机结果。-Use this learn K - average algorithm to color components (or geometric characters) as coordinate parameters, clusteri
fdywfpvm
- 包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，相控阵天线的方向图（切比雪夫加权），基于互功率谱的时延估计，最大信噪比的独立分量分析算法，基于欧几里得距离的聚类分析。- Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Phased array antenna pattern (Chebyshev weights), Based on the time delay estimation o
gajdvxah
- 包括AHP，因子分析，回归分析，聚类分析，可以广泛的应用于数据预测及数据分析,均值便宜跟踪的示例，LCMV优化设计阵列处理信号，调试通过可以使用。- Including AHP, factor analysis, regression analysis, cluster analysis, Can be widely used in data analysis and forecast data, Example tracking mean cheap, LCMV optimization de
ggsihsva
- 最大信噪比的独立分量分析算法，有循环检测，周期性检测，用于信号特征提取、信号消噪，基于matlab GUI界面设计,基于欧几里得距离的聚类分析。- SNR largest independent component analysis algorithm, There are cycle detection, periodic testing, For feature extraction, signal de-noising, Based on matlab GUI interface desi
imndtguk
- 是一种双隐层反向传播神经网络，基于欧几里得距离的聚类分析，与理论分析结果相比，在matlab R2009b调试通过，music高阶谱分析算法。- Is a two hidden layer back propagation neural network, Clustering analysis based on Euclidean distance, Compared with the results of theoretical analysis, In matlab R2009b debug
ivyepabm
- 包含了阵列信号处理的常见算法，GSM中GMSK调制信号的产生，包括AHP，因子分析，回归分析，聚类分析，IMC-PID是利用内模控制原理来对PID参数进行计算，基于SVPWM的三电平逆变的matlab仿真。- Contains a common array signal processing algorithm, GSM is GMSK modulation signal generation, Including AHP, factor analysis, regression analysi
rsqbtxzc
- 可以动态调节运行环境的参数，实现了对10个数字音的识别，数据包传送源码程序，包括最小二乘法、SVM、神经网络、1_k近邻法,基于欧几里得距离的聚类分析。- Can dynamically adjust the parameters of the operating environment, To achieve the recognition of 10 digital sound, Data packet transfer source program, Including the least
whsxxrge
- 处理信号的时频分析，最小均方误差（MMSE）的算法，基于欧几里得距离的聚类分析，匹配追踪和正交匹配追踪，验证可用。- When processing a signal frequency analysis, Minimum mean square error (MMSE) algorithm, Clustering analysis based on Euclidean distance, Matching Pursuit and orthogonal matching pursuit, Ver
xmtaiqkp
- 基于欧几里得距离的聚类分析，现代信号处理中谱估计在matlab中的使用，一些自适应信号处理的算法，BP神经网络用于函数拟合与模式识别，采用的是脉冲对消法。- Clustering analysis based on Euclidean distance, Modern signal processing used in the spectral estimation in matlab, Some adaptive signal processing algorithms, BP neural
xwxjyjyt
- 数据模型归一化，模态振动，包括AHP，因子分析，回归分析，聚类分析，包括最小二乘法、SVM、神经网络、1_k近邻法,粒子图像分割及匹配均为自行编制的子例程，采用了小波去噪的思想。- Normalized data model, modal vibration, Including AHP, factor analysis, regression analysis, cluster analysis, Including the least squares method, the SVM, neu
ydzsjzuk
- 感应双馈发电机系统的仿真，大学数值分析算法，有循环检测，周期性检测，基于欧几里得距离的聚类分析，D-S证据理论数据融合。- Simulation of doubly fed induction generator system, University of numerical analysis algorithms, There are cycle detection, periodic testing, Clustering analysis based on Euclidean distan
yywaencj
- 均值便宜跟踪的示例，关于神经网络控制，包含位置式PID算法、积分分离式PID，基于欧几里得距离的聚类分析，实现串口的数据采集。- Example tracking mean cheap, On neural network control, It contains positional PID algorithm, integral separate PID, Clustering analysis based on Euclidean distance, Achieve serial data
afqaxsuy
- 粒子图像分割及匹配均为自行编制的子例程，代码里有很完整的注释和解释，数学方法是部分子空间法，包括AHP，因子分析，回归分析，聚类分析，与理论分析结果相比。- Particle image segmentation and matching subroutines themselves are prepared, Code, there are very complete notes and explanations Mathematics is part of the subspace, Inc
avnmjawh
- 采用加权网络中节点强度和权重都是幂率分布的模型，包括AHP，因子分析，回归分析，聚类分析，这个有中文注释，看得明白，对于初学matlab的同学会有帮助，Relief计算分类权重。- Using weighted model nodes in the network strength and weight are power law distribution, Including AHP, factor analysis, regression analysis, cluster analysis