Sampling for Maximum Dissimilarity
Creating a subsample of data that covers your N-dimensional space
Sampling Sampling data can be done in many ways depending on what is desired. Most often a random uniform sampling is used to collect a small subset for preliminary analysis. This can reduce computation and provide rapid insight. There are, however, other reasons to sample data, such as create a representative sample set that covers the data range.
A particular example arises in earth sciences when the goal is to model weather or ocean conditions across the range of possible forcing.
Posted by "Sean C. Crosby" Sunday, October 8, 2023