Exporting LDA Functions from Displayr into Excel
In this post I show how discriminant functions can be extracted from a Linear Discriminant Analysis in Displayr. Such functions are often used in Excel (or elsewhere) to make new predictions based on the LDA. I show how a simple calculation can be used to make new predictions based on the discriminant functions. This post […]
Linear Discriminant Analysis in R: An Introduction
Linear Discriminant Analysis (LDA) is a well-established machine learning technique and classification method for predicting categories. Its main advantages, compared to other classification algorithms such as neural networks and random forests, are that the model is interpretable and that prediction is easy. Linear Discriminant Analysis is frequently used as a dimensionality reduction technique for pattern […]
