What are the Challenges Associated with High Dimensionality?
One of the main challenges is the [[curse of dimensionality]], where the number of variables or features in a data set is so large that it becomes difficult to analyze and interpret. This can lead to issues like overfitting in statistical models and increased computational requirements. Additionally, managing and processing these large data sets require advanced computational resources and expertise in [[bioinformatics]].
