![Checkout](https://naologiccom.imgix.net/website-update/general/checkout.png?auto=compress&w=64&fm=png)
Start free trial
Take Naologic for a spin today, no credit card needed and no obligations.
Start free trial Question
Dimensionality Reduction - Is PCA dimensionality reduction?
Answer
Principal component analysis, or PCA, is a dimensionality reduction method that is often used to reduce the dimensionality of large data sets, by transforming a large set of variables into a smaller one that still contains most of the information in the large set.