双向互动中情感时间序列的聚类分析

IF 5.3 3区心理学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Multivariate Behavioral Research Pub Date : 2024-02-26 DOI:10.1080/00273171.2023.2283633

Samuel D. Aragones, Emilio Ferrer

引用次数: 0

摘要

分析多变量时间序列的一个重要目标是识别个体内部和个体之间随时间变化的异质性。这种异质性代表了个体在不同时间段内的不同行为方式。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Clustering Analysis of Time Series of Affect in Dyadic Interactions

An important goal when analyzing multivariate time series is the identification of heterogeneity, both within and across individuals over time. This heterogeneity can represent different ways in wh...

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Multivariate Behavioral Research 数学-数学跨学科应用

CiteScore

7.60

自引率

2.60%

发文量

审稿时长

>12 weeks

期刊介绍： Multivariate Behavioral Research (MBR) publishes a variety of substantive, methodological, and theoretical articles in all areas of the social and behavioral sciences. Most MBR articles fall into one of two categories. Substantive articles report on applications of sophisticated multivariate research methods to study topics of substantive interest in personality, health, intelligence, industrial/organizational, and other behavioral science areas. Methodological articles present and/or evaluate new developments in multivariate methods, or address methodological issues in current research. We also encourage submission of integrative articles related to pedagogy involving multivariate research methods, and to historical treatments of interest and relevance to multivariate research methods.