Search - K entropy

Search - K entropy - List

[matlab] K_entropy DL : 1: 关于混沌Kolmogorov熵的计算程序，在前人基础上自己编写的。已经用过很多混沌时间序列K熵的计算。-On chaotic Kolmogorov entropy calculation procedure, based on predecessors have written. Has been used a lot of chaotic time series K entropy calculations.
Update : 2025-04-04 Size : 3kb Publisher : 张真
[Special Effects] TextureAnlysis DL : 0: TextureAnlysis.m实现遥感图像的纹理分析，以方向邻域内的灰度均值和灰度共生矩阵的熵作为纹理特征，使用k-means聚类。-TextureAnlysis.m the realization of remote sensing image texture analysis to the direction of the gray-scale neighborhood of the mean and the entropy of gray level co-occurrence matrix as texture features, the use of k-means clustering.
Update : 2025-04-04 Size : 203kb Publisher : xxl
[matlab] KFCM DL : 0: 基于粗糙熵和K-均值聚类算法的图像分割 -Based on Rough Entropy and K-means clustering algorithm for image segmentation
Update : 2025-04-04 Size : 253kb Publisher : 张三
[Delphi VCL] Kmeans DL : 0: 基于粗糙熵和K-均值聚类算法的图像分割基于粗糙熵和K-均值聚类算法的图像分割-Based on Rough Entropy and K-means clustering algorithm for image segmentation based on rough entropy and K-means clustering algorithm for image segmentation
Update : 2025-04-04 Size : 251kb Publisher : 张三
[AI-NN-PR] Chaos_Prediction DL : 0: 混沌时间序列分析与预测源代码。具有产生混沌时间序列，求时延，求嵌入维，求关联维，求K熵，求Lyapunov指数谱，求二进制图形的盒子维和广义维，求时间序列的盒子维和广义维，混沌时间序列预测等项功能。-Chaotic time series analysis and prediction of the source code. Has generated chaotic time series, and delay, and embedding dimension, and correlation dimension, and K-entropy, and Lyapunov exponent spectra, and the binary graphics box peacekeeping generalized dimensions, and time series of box-dimensional and generalized dimension, chaotic time series prediction functions.
Update : 2025-04-04 Size : 566kb Publisher : 李志
[matlab] KolmogorovEntropy_STB DL : 0: 求K熵(Kolmogorov Entropy) GP算法 - \KolmogorovEntropy_GP\Main_KolmogorovEntropy_GP.m STB算法 - \KolmogorovEntropy_STB\Main_KolmogorovEntropy_STB.m-For K-entropy (Kolmogorov Entropy) GP algorithm- \ KolmogorovEntropy_GP \ Main_KolmogorovEntropy_GP.m STB algorithm- \ KolmogorovEntropy_STB \ Main_KolmogorovEntropy_STB.m
Update : 2025-04-04 Size : 5kb Publisher : chenchen
[Other] KolmogorovEntropy_GP DL : 0: 一种简单有效的测度熵替代方法——近似熵(approximate entropy)方法.应用以上方法对Logistic映射复杂度进行了分析.结果表明Lyapunov指数和测度熵的值与复杂度基本呈线性关系,分维数与复杂度的函数关系尚难确定,且与Lyapunov指数、测度熵之间的关系也不明确. - Approximate entropy (ApEn) method is also studied. They are applied to analyze the complexity of Logistic map. The conclusion is that Lyapunov exponent and K-S entropy have approximately linear relation with complexity, while it is difficult to determine the relation between fractal and complexity.
Update : 2025-04-04 Size : 9kb Publisher : k
[Mathimatics-Numerical algorithms] song DL : 0: 计算K熵的matlab程序，适用于混沌中某一点三个方向的时间序列，在前人的基础上改编的- entropy matlab calculation procedures to apply to the direction of chaos in a 1.3 time series, based on the adaptation of our predecessors
Update : 2025-04-04 Size : 1kb Publisher : saffron
[matlab] Lyapunov-solve-K DL : 0: Lyapunov求解K熵的matlab仿真程序-Solving Lyapunov entropy matlab simulation program K
Update : 2025-04-04 Size : 39kb Publisher : 陈瑞平
[Special Effects] kmean DL : 0: 包括K-均值聚类算法的思想介绍，kmeans的MATLAB代码，c语言代码、c++代码。-Including the K-means clustering algorithm introduced the idea, kmeans of MATLAB code, c language code, c++ code.-Entropy Based Subspace Clustering for Mining Data- ENCLUS- a new version of PROCLUS algorithm for clustering high dimensional data set.
Update : 2025-04-04 Size : 1.08mb Publisher : 陈老师
[Algorithm] false_nearest DL : 0: 计算混沌时间序列中的伪临近点，为进一步分析混沌时间序列的K熵，lyapunov指数做数据处理。-Calculate the pseudo-chaotic time series near the point, further analysis of chaotic time series for the K-entropy, lyapunov index to do data processing.
Update : 2025-04-04 Size : 3kb Publisher : 马无缰
[matlab] KolmogorovEntropy_STB DL : 0: 求混沌时间序列K熵(Kolmogorov Entropy)STB算法-Seeking chaotic time series K entropy (Kolmogorov Entropy) STB algorithm
Update : 2025-04-04 Size : 6kb Publisher : 52
[Algorithm] Kolmogorov-entropy DL : 0: 用C语言编制的代码，同时计算关联维数和K熵-C language code, while computing correlation dimension and K entropy
Update : 2025-04-04 Size : 21kb Publisher : 刘永坚
[matlab] KolmogorovEntropy2 DL : 0: 求取K熵，代码简单，容易，运行速度快，可以看看，参考-Strike K entropy, the code is simple, easy, fast, can see, reference
Update : 2025-04-04 Size : 1kb Publisher : zacharyhu
[Other] K-distribution-entropy DL : 0: 利用k分布求熵，可以实现熵的K分布求解，很有用-calculate the entropy by use of the K distribution, which is of great importance
Update : 2025-04-04 Size : 1kb Publisher : 何兴宇
[matlab] M-K检验源代码 DL : 0: 样本熵联合分析水文序列的相关性用于插补无资料地区数据(Sample entropy combined to analyze the correlation of hydrologic sequences to interpolate data without data)
Update : 2025-04-04 Size : 1kb Publisher : 18548326811
[Other] EWKM DL : 0: 针对于高维稀疏的子空间数据，并进行了加权熵处理(Aiming at the high-dimensional sparse subspace data, weighted entropy processing is carried out.)
Update : 2025-04-04 Size : 4kb Publisher : hll2369664322
[Communication-Mobile] K-order Markov Chain in Mobile Social Networks DL : 0: 针对移动社交网络中节点中心性预测问题，提出基于K阶马尔科夫链的中心性预测方法。在真实移动社交数据集的中计算信息熵分析节点中心性的过去与未来规律性，研究了节点中心性的可预测性。利用节点中心性的历史信息，构建状态转移概率矩阵，预测节点未来中心性值, 并通过分析真实值与预测值之间的误差评估了这些预测方法的性能。结果表明，当阶数K=2时，与四种基于时窗的中心性预测方法比较，基于K阶马尔科夫链的预测模型在MIT数据集和Infocom 06数据集中虽不在个体上优于已提出的预测方法，但在整体上达到了优化。(we proposed a centrality prediction method based on K-order Markov chains to solve the problem of centrality prediction in mobile social networks. In the real mobile social data set, the information entropy of the computation is used to analyze the past and future regularity of the node's centrality, and the predictability of the node's centrality is verified. Using the historical information of the center of the node, the state probability matrix is constructed to predict the future central value of the node. Through the analysis of the error between real value and predicted value, we evaluate the performance of the prediction methods. The results show that the prediction model based on the K-order Markov chain when K=2 is not optimized on the individual on the MIT dataset and the Infocom 06 data set, but on the whole to achieve the optimization.)
Update : 2025-04-04 Size : 20.25mb Publisher : garyppap
[matlab] KolmogorovEntropy_GP DL : 3: 柯尔莫哥洛夫熵（Kolmogorov熵，以下简称K熵）是刻划混沌系统的一个重要的量。在不同类型的动力学系统中，K熵的数值是不同的。本程序可以计算kolmogorov熵(Kolmogorov entropy (hereinafter referred to as K entropy) is an important quantity for describing chaotic systems. In different types of dynamical systems, the K entropy is different. This procedure can calculate Kolmogorov entropy.)
Update : 2025-04-04 Size : 10kb Publisher : xiaojinyongjoy
[Other] 程序 DL : 0: main_feature.m：为特征提取主要程序,其中调用filter50.m子程序为50HZ工频滤噪；调用ApEn.m c0complex.m kEn_correct.m lyapunov_wolf.m LZC.m spectral_entropy.m SVDen.m SampEn.m子程序为非线性特征（近似熵，C0复杂度，K熵等）提取；wave_brain为小波分析频段特征提取。其中采样频率皆为256HZ。(ApEn.m c0complex.m kEn_correct.m lyapunov_wolf.m LZC.m spectral_entropy.m SVDen.m SampEn.m)
Update : 2025-04-04 Size : 4kb Publisher : 卷积臭豆腐

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