👉 In mathematics, a principal component (PC) is a linear combination of one or more basis vectors. A principal component analysis (PCA) is a statistical technique used to reduce the dimensionality of a dataset by projecting it onto a lower-dimensional subspace that contains most of the variation in the data. The term "principalities" in this context refers to a specific kind of PCA, where each principal component represents a distinct feature or variable. In other words, the principal components are the basis vectors of
Search Google for Principalities.,
Search Yahoo for Principalities.,
Search Yandex for Principalities.,
Search Lycos for Principalities.,
Search YouTube for Principalities.,
Search TikTok for Principalities.,
Search Bing for Principalities.,
Search Wikipedia for Principalities.,
Search Etsy for Principalities.,
Search Reddit for Principalities.,
Search Amazon for Principalities.,
Search Facebook for Principalities.,
Search Instagram for #Principalities.,
Search DuckDuckGo for Principalities.,
Search Pinterest for Principalities.,
Search Quora for Principalities.,
Search eBay for Principalities.
