Principal Component Analysis (PCA)
Автор: GraphPad Software
Загружено: 21 нояб. 2020 г.
Просмотров: 28 020 просмотров
This video introduces Principal Component Analysis, or PCA, which is new in Prism 9. It’s a powerful tool used for exploratory analyses with large datasets. Follow along as we motivate PCA with an example in Prism.
You will learn
When to use PCA
How to find outlying points with unusual behavior
How to launch PCA
How to create and interpret PCA graphs
Learn more about Prism 9 features and capabilities: graphpad.com/support/faq/prism-900-release-notes/
Try Prism for free: www.graphpad.com/demos

Доступные форматы для скачивания:
Скачать видео mp4
-
Информация по загрузке: