实现二:基于正态核的多变量核密度估计 原理介绍:请阅读:Estimation of mutual information using kernel density estimators和Jackknife approach to the estimation of mutual information function [Ixy,lambda]=MutualInfo(X,Y) %% % Estima
xy2 = np.random.multivariate_normal([-3, 3], [[1, 0], [0, 1]], int(n / 4)) xy3 = np.random.multivariate_normal([-3, -3], [[1, 0], [0, 1]], int(n / 4)) xy4 = np.random.multivariate_normal([3, -3], [[1, 0], [0, 1]], int(n / 4)) # np.concatena...
import numpy as np nb_samples = 500 data_1 = np.random.multivariate_normal([-2.0, 0.0], np.diag([1.0, 0.5]), size=(nb_samples,)) data_2 = np.random.multivariate_normal([0.0, 2.0], np.diag([1.5, 1.5]), size=(nb_samples,)) data_3 = np.random.multivariate_normal([2.0, 0.0...
multivariate settings where the interpretation and best practices are not known. For example, there are at least four reasonable multivariate generalizations of the mutual information, none of which inherit all the interpretations of the standard bivariate case. Which is best to use is context-dependen...
在本章中,我们将介绍基本的机器学习概念,即 ,前提是您具有一些统计学习和概率论的基本知识 。 您将了解机器学习技术的使用以及逻辑过程,这些逻辑过程将增进我们对数据集的性质和属性的了解。 整个过程的目的是建立可支持业务决策的描述性和预测性模型。 无监督学习旨在为数据探索,挖掘和生成提供工具。 在本书中,您...
such as BER (Bayes error rate, irreducible error), ES (effect size), Person's r, Spearman's rho, Kendall's tau, IG (information gain, mutual information), ANOVA (Analysis of Variance), MANOVA (Multivariate ANOVA), MWW (Mann–Whitney–Wilcoxon test), KS (Kolmogorov–Smirnov test), etc....
Synthetically-augmented multivariate detailed: replicates detailed relationships. For this one, you must perform disclosure control evaluation on a case-by-case basis. Synthetically-augmented replica: provides the closest possible replication. Performing disclosure control evaluation on a case-by-case basis ...
Our package includes state-of-the-art multivariate methods including symbolic entropy, multidimensional recurrence quantification analysis, coherence (with an additional sum-normalized modification), the cluster-phase ‘Rho’ metric, and a statistical test based on the Kuramoto order parameter. We also ...
Energy: E-statistics: Multivariate inference via the energy of data (2022) URL https://CRAN.R-project.org/package=energy Google Scholar [19] James N.A., Kejariwal A., Matteson D.S. Leveraging cloud data to mitigate user experience from ‘breaking bad’ 2016 IEEE international conference on...
The following tables contain the average Rand Index (RI), Adjusted Rand Index (ARI), and Normalized Mutual Information (NMI) accuracy values over 10 runs fork-Shape on the univariate and multivariate datasets. Note: We collected the results using a single core implementation. ...