奇纳
清晰
星团(航天器)
护理研究
护理文献
数据科学
透视图(图形)
科学网
形式概念分析
心理学
护理部
计算机科学
荟萃分析
医学
替代医学
心理干预
人工智能
生物化学
化学
病理
程序设计语言
算法
内科学
作者
Heather Dunn,Lauretta Quinn,Susan J. Corbridge,Kamal Eldeirawi,Mary C. Kapella,Eileen Collins
标识
DOI:10.1177/0193945917707705
摘要
The use of cluster analysis in the nursing literature is limited to the creation of classifications of homogeneous groups and the discovery of new relationships. As such, it is important to provide clarity regarding its use and potential. The purpose of this article is to provide an introduction to distance-based, partitioning-based, and model-based cluster analysis methods commonly utilized in the nursing literature, provide a brief historical overview on the use of cluster analysis in nursing literature, and provide suggestions for future research. An electronic search included three bibliographic databases, PubMed, CINAHL and Web of Science. Key terms were cluster analysis and nursing. The use of cluster analysis in the nursing literature is increasing and expanding. The increased use of cluster analysis in the nursing literature is positioning this statistical method to result in insights that have the potential to change clinical practice.
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