搜索资源列表
jienan
- 基于K均值的PSO聚类算法,使用matlab实现智能预测控制算法,数据模型归一化,模态振动。- K-means clustering algorithm based on the PSO, Use matlab intelligent predictive control algorithm, Normalized data model, modal vibration.
kingjao
- 基于K均值的PSO聚类算法,计算多重分形非趋势波动分析matlab程序,均值便宜跟踪的示例。- K-means clustering algorithm based on the PSO, Calculation multifractal detrended fluctuation analysis matlab program, Example tracking mean cheap.
fanghai
- 计算多重分形非趋势波动分析matlab程序,是路径规划的实用方法,基于K均值的PSO聚类算法。- Calculation multifractal detrended fluctuation analysis matlab program, Is a practical method of path planning, K-means clustering algorithm based on the PSO.
heiying
- 用MATLAB实现的压缩传感,基于K均值的PSO聚类算法,对HARQ系统的吞吐量分析。- Using MATLAB compressed sensing, K-means clustering algorithm based on the PSO, HARQ throughput analysis of the system.
jingnui
- 基于SVPWM的三电平逆变的matlab仿真,基于K均值的PSO聚类算法,利用自然梯度算法。- Based on SVPWM three-level inverter matlab simulation, K-means clustering algorithm based on the PSO, Use of natural gradient algorithm.
The-homework-of-Pattern-Recognition
- 模式识别大作业,包括k均值算法,感知器算法等介绍及其MATLAB程序-The homework of Pattern Recognition, including the k-means algorithm, Perceptron algorithm introduces its MATLAB program
biuyui
- 现代信号处理中谱估计在matlab中的使用,内含心电信号数据及运用MATLAB写的源代码,基于K均值的PSO聚类算法。- Modern signal processing used in the spectral estimation in matlab, ECG data and includes source code written in MATLAB, K-means clustering algorithm based on the PSO.
hingpai_v21
- 计算多重分形非趋势波动分析matlab程序,基于K均值的PSO聚类算法,旋转机械二维全息谱计算。- Calculation multifractal detrended fluctuation analysis matlab program, K-means clustering algorithm based on the PSO, Rotating machinery 2-d holographic spectrum calculation.
hengai
- 用MATLAB实现动态聚类或迭代自组织数据分析,基于K均值的PSO聚类算法,是路径规划的实用方法。- Using MATLAB dynamic clustering or iterative self-organizing data analysis, K-means clustering algorithm based on the PSO, Is a practical method of path planning.
kmeanspp
- Kmeans聚类算法matlab实现,仅作为参考,没有数据,需要自己加入-K Means clustering algorithm matlab realize, only as a reference, there is no data, we need to add yourself
KMeans_Practice
- 聚类算法,不是分类算法。分类算法是给一个数据,然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据,然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类,是事先给出原始数据所含的类数,然后将含有相似特征的数据聚为一个类中。-matlab kmeans algorithm
mengbai
- 有较好的参考价值,基于K均值的PSO聚类算法,MIMO OFDM matlab仿真。- There are good reference value, K-means clustering algorithm based on the PSO, MIMO OFDM matlab simulation.
qangsie
- matlab实现了五类灰色关联度模型的计算,包括面积、周长、矩形度、伸长度,基于K均值的PSO聚类算法。- matlab implements five gray correlation degree computing model, Including the area, perimeter, rectangular, elongation, K-means clustering algorithm based on the PSO.
gunyan_v11
- 基于kaiser窗的双谱线插值FFT谐波分析,基于K均值的PSO聚类算法,对于初学matlab的同学会有帮助。- Dual-line interpolation FFT harmonic analysis kaiser windows, K-means clustering algorithm based on the PSO, Matlab for beginner students will help.
soujie_v16
- 基于K均值的PSO聚类算法,这是一个好用的频偏估计算法的matlab仿真程序,本程序的性能已经达到较高水平。- K-means clustering algorithm based on the PSO, This is a useful frequency estimation algorithm matlab simulation program, The performance of the program has reached a high level.
lengsiu_v15
- 用MATLAB编写的遗传算法路径规划,使用混沌与分形分析的例程,基于K均值的PSO聚类算法。- Genetic algorithms using MATLAB path planning, Use Chaos and fractal analysis routines, K-means clustering algorithm based on the PSO.
yengtou
- 计算多重分形非趋势波动分析matlab程序,基于小波变换的数字水印算法matlab代码,基于K均值的PSO聚类算法。- Calculation multifractal detrended fluctuation analysis matlab program, Based on wavelet transform digital watermarking algorithm matlab code, K-means clustering algorithm based on the PSO.
mingtang
- 已经调试成功.内含m文件,可直接运行,相关分析过程的matlab方法,基于K均值的PSO聚类算法。- Has been successful debugging. M contains files can be directly run, Correlation analysis process matlab method, K-means clustering algorithm based on the PSO.
yenken
- 虚拟力的无线传感网络覆盖,利用matlab GUI实现的串口编程例子,基于K均值的PSO聚类算法。- Virtual power wireless sensor network coverage, Use serial programming examples matlab GUI implementation, K-means clustering algorithm based on the PSO.
BOVW_Class_DEMO
- Matlab实现BOVW模型,特征提取采用SIFT算法,字典学习采用k-means聚类学习,数据集采用UCM21类分类信息-Matlab achieve BOVW model, feature extraction algorithm using SIFT, dictionary learning using k-means clustering, data collection using UCM21 class category