11/3/2023 0 Comments Pca columns in dataframe r![]() Let’s suppose that we wish to perform PCA on the MNIST Handwritten Digit data set. If you are unfamiliar with this technique, I suggest reading through this article by the Analytics Vidhya Content Team which includes a clear explanation of the concept as well as how it can be implemented in R and Python. An example of such is the use of principle component analysis (or PCA for short). There are however several algorithms that will be halted by their presence. ![]() The existance of zero variance columns in a data frame may seem benign and in most cases that is true. The proof of the reverse, however, requires some basic knowledge of measure theory - specifically that if the expectation of a non-negative random variable is zero then the random variable is equal to zero. The proof of the former statement follows directly from the definition of variance. In fact the reverse is true too a zero variance column will always have exactly one distinct value. ![]() Whenever you have a column in a data frame with only one distinct value, that column will have zero variance. The Issue With Zero Variance Columns Introduction
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |