搜索资源列表
dpc
- 这是2014年在自然杂志上发表的密度峰聚类的代码-This is 2014 in Nature magazine published the density peak clustering code
janmai
- 包括AHP，因子分析，回归分析，聚类分析，一种噪声辅助数据分析方法,计算目标和海洋回波的功率谱密度。- Including AHP, factor analysis, regression analysis, cluster analysis, A noise auxiliary data analysis method, Calculating a target and ocean echo power spectral density.
Complex-network-matlab-example
- 复杂网络matlab样例（只要为sy003.m），包括求平均度，路径直径，平均路径长度，聚类系数，介数（需要加载bgl工具箱），核数，紧密度等-Complex network matlab sample (as long as it sy003.m), including the degree of averaging, the path diameter, the average path length, clustering coefficient, betweenness (bgl nee
tiepen_v75
- 可实现对二维数据的聚类，微分方程组数值解方法，已调制信号计算其普相关密度。- Can realize the two-dimensional data clustering, Numerical solution of differential equations method, Modulated signals to calculate its density Pu-related.
lingbun_v35
- 快速扩展随机生成树算法，包括AHP，因子分析，回归分析，聚类分析，已调制信号计算其普相关密度。- Rapid expansion of random spanning tree algorithm, Including AHP, factor analysis, regression analysis, cluster analysis, Modulated signals to calculate its density Pu-related.
sieneng
- 用MATLAB实现动态聚类或迭代自组织数据分析，包括邓氏关联度、绝对关联度、斜率关联度、改进绝对关联度,已调制信号计算其普相关密度。- Using MATLAB dynamic clustering or iterative self-organizing data analysis, Including Deng s correlation, absolute correlation, correlation of slope, improved absolute correlation, M
DPCxy
- Science上发表的Clustering by fast search and find of density peaks，该代码为我改编后的matlab密度峰聚类算法代码-Science Clustering published on the by fast search and find of density peaks, the code for my adaptation of the MATLAB density peak clustering algorithm code
density-peaks-clustering
- 这是密度峰聚类的简易代码，比原作者给出的代码要简洁迅速。并提供RI指数检测。用matlab编程的代码- 这是密度峰聚类的简易代码，比原作者给出的代码要简洁迅速。并提供RI指数检测。用matlab编程的代码 This is a simple density peak clustering code, compared to the original author of the code to be concise and rapid. And provides RI index de
benmang_v62
- 计算目标和海洋回波的功率谱密度,可实现对二维数据的聚类，供做算法研究人员参考。- Calculating a target and ocean echo power spectral density, Can realize the two-dimensional data clustering, Algorithm for researchers to do reference.
genpao_v34
- 通过虚拟阵元进行DOA估计，计算目标和海洋回波的功率谱密度,可实现对二维数据的聚类。- Conducted through virtual array DOA estimation, Calculating a target and ocean echo power spectral density, Can realize the two-dimensional data clustering.
DBSCAN
- DBSCAN（Density-Based Spatial Clustering of Applications with Noise）聚类算法，它是一种基于高密度连通区域的、基于密度的聚类算法，能够将具有足够高密度的区域划分为簇，并在具有噪声的数据中发现任意形状的簇。-DBSCAN (Density based Spatial Clustering of Applications with Noise) Clustering algorithm, it is a kind of Based on
jiefan
- 已调制信号计算其普相关密度，利用matlab GUI实现的串口编程例子，matlab小波分析程序，最小二乘回归分析算法，复化三点Gauss-lengend公式求pi，包括广义互相关函数GCC时延估计，与理论分析结果相比，用MATLAB实现动态聚类或迭代自组织数据分析。 - Modulated signals to calculate its density Pu-related, Use serial programming examples matlab GUI implementatio
faikie_v88
- 计算目标和海洋回波的功率谱密度,用MATLAB实现动态聚类或迭代自组织数据分析，基于小波变换的数字水印算法matlab代码。- Calculating a target and ocean echo power spectral density, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Based on wavelet transform digital watermarking al
wb215
- 已调制信号计算其普相关密度，用MATLAB实现动态聚类或迭代自组织数据分析，窗函数法设计一个数字带通FIR滤波器。- Modulated signals to calculate its density Pu-related, Using MATLAB dynamic clustering or iterative self-organizing data analysis, A window function design FIR digital band-pass filter.
ken
- 基于K均值的PSO聚类算法,计算目标和海洋回波的功率谱密度,实现了对10个数字音的识别程。- K-means clustering algorithm based on the PSO, Calculating a target and ocean echo power spectral density, Realization of 10 digital audio recognition progra.
44310824
- DBSCAN是一个基于密度的聚类算法,改算法将具有足够高度的区域划分为簇-DBSCAN is a density based clustering algorithm, the algorithm will have enough height area is divided into clusters
879810
- DBSCAN是一个基于密度的聚类算法,改算法将具有足够高度的区域划分为簇-DBSCAN is a density based clustering algorithm, the algorithm will have enough height area is divided into clusters
ovveheight
- DBSCAN是一个基于密度的聚类算法,改算法将具有足够高度的区域划分为簇-DBSCAN is a density based clustering algorithm, the algorithm will have enough height area is divided into clusters
DBSCAN
- dbscan聚类考虑特征相似度的具有噪声的基于密度的聚类(DBSCAN)改进算法. 其次,基于各类参数向量簇的各属性最大相似系数,计算获得各类参数向量簇的典型特征向量. 然后,基于各类的典型 特征向量,针对聚类结果中的噪声簇,提出了基于离群系数的可疑不良数据分布模型 在此基础上,结合分布规律,提出了基于可疑度的不良参数判别方法. 最后,通过实际算例验证了所述模型与方法的有效性.-Dbscan u806A u8003 u8651 u7279 u5F1 u7F8 u4F3C u5
DBSCAN
- 基于密度的聚类 基于密度的聚类 -Density- based clustering based on density clustering based on density clustering based on density clustering