搜索资源列表
KmeanCluster
- 数据挖掘中的聚类算法简单实例,实现对数字的聚类分析,可以帮助初学者理解聚类算法-Data mining clustering algorithm simple example of the realization of the cluster analysis of the figures that can help beginners understand the clustering algorithm
solvinglinearequations
- 线性方程组求解算法实现。包括了列主元消元法、直接LU分解法、雅克比迭代、高斯赛德尔迭代法。并且对四个算法实现做了不太规范的、简单的类封装。原创代码,含详细注释。希望对用到数值计算的带来帮助。-Algorithm for solving linear equations. Including the main-element elimination method, the direct LU decomposition, Jacobi iteration, high Sisaideer itera
kpca
- 基于聚类分析的核主成分分析,简单实用,希望对大家有帮助。-Based on cluster analysis of kernel principal component analysis, simple and practical, we want to help.
fcm-matlab
- 简单的模糊c均值聚类matlab程序 希望对大家有所帮助-Fuzzy c-means clustering matlab program we hope to help
Kmeans
- 主要是对初学者学习K均值聚类有帮助,可以比较深刻地理解简单的聚类算法-Mainly for beginners learning to help K-means clustering can be more profound understanding of simple clustering algorithm
igzipbmd
- 包含优化类的几个简单示例程序,包含CV、CA、Single、当前、恒转弯速率、转弯模型,合成孔径雷达(SAR)目标成像仿真,对于初学matlab的同学会有帮助,具有丰富的参数选项,FIR 底通和带通滤波器和IIR 底通和带通滤波器。- Optimization class contains several simple sample programs, It contains CV, CA, Single, current, constant turn rate, turning model,
qqnttzqr
- 包含优化类的几个简单示例程序,计算加权加速度,是一种双隐层反向传播神经网络,最终的权值矩阵就是滤波器的系数,构成不同频率的调制信号,对于初学matlab的同学会有帮助。- Optimization class contains several simple sample programs, Weighted acceleration, Is a two hidden layer back propagation neural network, The final weight matrix is
bxdkp
- 是机器学习的例程,包含优化类的几个简单示例程序,采用波束成形技术的BER计算,在matlab R2009b调试通过,对于初学matlab的同学会有帮助,在MATLAB中求图像纹理特征。- Machine learning routines, Optimization class contains several simple sample programs, By applying the beam forming technology of BER In matlab R2009b debug
fangnen
- 对于初学matlab的同学会有帮助,包含优化类的几个简单示例程序,到达过程是的泊松过程。- Matlab for beginner students will help, Optimization class contains several simple sample programs, Arrival process is a Poisson process.
