mean
共 154 篇文章
mean 相关的电子技术资料，包括技术文档、应用笔记、电路设计、代码示例等，共 154 篇文章，持续更新中。
neural network utility is a Neural Networks library for the C++ Programmer. It is entirely object o
neural network utility is a Neural Networks library for the
C++ Programmer. It is entirely object oriented and focuses
on reducing tedious and confusing problems of programming neural networks.
By
This paper studies the problem of tracking a ballistic object in the reentry phase by processing ra
This paper studies the problem of tracking a ballistic object in
the reentry phase by processing radar measurements. A suitable
(highly nonlinear) model of target motion is developed and the
theore
mean shift clustering file
mean shift clustering file
分级聚类算法：包括k-mean max-dist min-dist 程序使用方法： 程序中打开文件“.dat”-》选择聚类方法-》显示数据 .dat文件格式： 分成几类 输入样本维数 样本
分级聚类算法：包括k-mean max-dist min-dist
程序使用方法：
程序中打开文件“.dat”-》选择聚类方法-》显示数据
.dat文件格式：
分成几类
输入样本维数
样本个数
下面依次为样本特征向量
This is not a very mean things
This is not a very mean things
How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters S
How the K-mean Cluster work
Step 1. Begin with a decision the value of k = number of clusters
Step 2. Put any initial partition that classifies the data into k clusters. You may assign the traini
extreme learning machine 例子 run satimage_mean
extreme learning machine 例子
run satimage_mean
K-mean 模式識別分析法使用k-mean作為分析方法
K-mean 模式識別分析法使用k-mean作為分析方法
least mean square algorithm for estimation state
least mean square algorithm for estimation state
this code is a Mean shift example
this code is a Mean shift example
This a Bayesian ICA algorithm for the linear instantaneous mixing model with additive Gaussian noise
This a Bayesian ICA algorithm for the linear instantaneous mixing model with additive Gaussian noise [1]. The inference problem is solved by ML-II, i.e. the sources are found by integration over the s
K-mean算法
K-mean算法，并通过了IRIS数据的测试。
This program simulates plant identification least mean square (NLMS) alogrithm reference: 《LMS算法的
This program simulates plant identification least mean square (NLMS) alogrithm
reference: 《LMS算法的频域快速实现》
The radially averaged power spectrum (RAPS) is the direction-independent mean spectrum, i.e. the ave
The radially averaged power spectrum (RAPS) is the direction-independent mean spectrum, i.e. the average of all possible directional power spectra. This function computes and plots the RAPS of an inpu
实现非局部平均去噪算法（non local mean）
实现非局部平均去噪算法（non local mean）
韩国Yunjin Lee的博士论文
韩国Yunjin Lee的博士论文，包含了她读博期间的主要研究成果，包括Mesh Scissoring: Contour-Based Segmentation，Mesh Parameterization Using Virtual Boundaries，Geometric Snakes for 3D Meshes，Mean Shift for 3D Meshes
模式识别 k-mean算法程序
模式识别 k-mean算法程序，用Visual c++编写
一个聚类算法用K-mean处理后迭代
一个聚类算法用K-mean处理后迭代，论文发表在PAK
采用一种快速收敛变步长LMS（Least mean square ） 自适应最小均方算法matlab源程序
采用一种快速收敛变步长LMS（Least mean square ） 自适应最小均方算法matlab源程序，其中算法所做的工作是用FIR 滤波器的预测系统，对IIR系统进行预测，如果阶数越高越能逼近被预测系统。
一种c语言算法 k-mean.c
一种c语言算法
k-mean.c