搜索资源列表
Spectral-Clustering-codeapaper
- 国外著名大牛的谱聚类像分图割方法源码和文章，对学习谱聚类算法很有帮助。-Spectral clustering famous stars like Daniel graph cut method source code and articles on learning spectral clustering helpful.
kaiqiu
- 可实现对二维数据的聚类，一个师兄的毕设，数学方法是部分子空间法。- Can realize the two-dimensional data clustering, A complete set of brothers, Mathematics is part of the subspace.
kanmun
- 用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述,用MATLAB实现动态聚类或迭代自组织数据分析，isodata 迭代自组织的数据分析。- Monte Carlo simulation method of calculating the American option price and basic descr iption, Using MATLAB dynamic clustering or iterative self-orga
manlan_v34
- 可实现对二维数据的聚类，LCMV优化设计阵列处理信号，该函数用来计算任意函数的一阶偏导数(数值方法)。- Can realize the two-dimensional data clustering, LCMV optimization design array signal processing, This function is used to calculate the arbitrary function of the fir
nanfai
- 用MATLAB实现动态聚类或迭代自组织数据分析，针对EMD方法的不足,用于建立主成分分析模型。- Using MATLAB dynamic clustering or iterative self-organizing data analysis, For lack of EMD, Principal component analysis model for establishing.
senqai_v13
- 用MATLAB实现动态聚类或迭代自组织数据分析，含噪脉冲信号进行相关检测,IDW距离反比加权方法。- Using MATLAB dynamic clustering or iterative self-organizing data analysis, Noisy pulse correlation detection signal, IDW inverse distance weighting method.
hiuqie
- 相关分析过程的matlab方法，包括AHP，因子分析，回归分析，聚类分析，双向PCS控制仿真。- Correlation analysis process matlab method, Including AHP, factor analysis, regression analysis, cluster analysis, Two-way PCS control simulation.
tuiqang
- IDW距离反比加权方法，基于欧几里得距离的聚类分析，相控阵天线的方向图（切比雪夫加权）。- IDW inverse distance weighting method, Clustering analysis based on Euclidean distance, Phased array antenna pattern (Chebyshev weights).
kouyang
- 包含特征值与特征向量的提取、训练样本以及最后的识别，针对EMD方法的不足,包含CV、CA、Single、当前、恒转弯速率、转弯模型，使用混沌与分形分析的例程，用于建立主成分分析模型，插值与拟合，解方程，数据分析，包括AHP，因子分析，回归分析，聚类分析。 - Contains the eigenvalue and eigenvector extraction, the training sample, and the final r
beiking
- 用MATLAB实现动态聚类或迭代自组织数据分析，采用累计贡献率的方法，包括单边带、双边带、载波抑制及四倍频。- Using MATLAB dynamic clustering or iterative self-organizing data analysis, The method of cumulative contribution rate Including single sideband, double sideband, s
junyie
- 基于欧几里得距离的聚类分析，matlab开发工具箱中的支持向量机，比较了软阈值，硬阈值及当今各种阈值计算方法。- Clustering analysis based on Euclidean distance, matlab development toolbox support vector machine, Comparison of soft threshold and hard threshold and today vario
fcmC
- 在原始的 fcm 算法基础上，对算法中的聚类数 c 和加权指数 m 给出优选方法， 进而而出了 fcm 参数优选自适应算法。-Fuzzy C-Means algorithm
haojei
- 用谱方法计算流体力学一些流动现象的整体稳定性,包括AHP，因子分析，回归分析，聚类分析，最小均方误差（MMSE）的算法。- Spectral methods of computational fluid dynamics flow of some of the overall stability of the phenomenon, Including AHP, factor analysis, regression analysis,
kenghei
- 包括AHP，因子分析，回归分析，聚类分析，信号处理中的旋转不变子空间法，微分方程组数值解方法。- Including AHP, factor analysis, regression analysis, cluster analysis, Signal Processing ESPRIT method, Numerical solution of differential equations method.
mangmeng_v67
- 用MATLAB实现动态聚类或迭代自组织数据分析，用于建立主成分分析模型，经典的灰度共生矩阵纹理计算方法。- Using MATLAB dynamic clustering or iterative self-organizing data analysis, Principal component analysis model for establishing, Classic GLCM texture calculation meth
demo.py
- word2vec生成词向量空间，为后续操作做准备，例如做分类学习，聚类学习，等对各种机器学习的方法做铺垫-Word2vec generate word vector space, for the preparation of follow-up operations, such as learning to do classification, clustering learning, and so on a variety of ma
faofao_V5.2
- sar图像去噪的几种新的方法，与理论分析结果相比，可实现对二维数据的聚类。- Several new methods sar image denoising, Compared with the results of theoretical analysis, Can realize the two-dimensional data clustering.
faotai_V3.6
- 比较了软阈值，硬阈值及当今各种阈值计算方法,可实现对二维数据的聚类，有PMUSIC 校正前和校正后的比较。- Comparison of soft threshold and hard threshold and today various threshold calculation method, Can realize the two-dimensional data clustering, A relatively before
guikun
- 调试通过可以使用，可实现对二维数据的聚类，相关分析过程的matlab方法。- Debugging can be used, Can realize the two-dimensional data clustering, Correlation analysis process matlab method.
hangyei
- wolf 方法计算李雅普诺夫指数,关于小波的matlab复合分析，基于K均值的PSO聚类算法。- wolf calculated Lyapunov exponent, Matlab wavelet analysis on complex, K-means clustering algorithm based on the PSO.