TraCS Biostatistics Seminar Series: Exploring high-dimensional datasets: Principal Component Analysis and clustering
Exploratory data analysis is useful to understand a dataset—to find insights and generate hypotheses, rather than test hypotheses. t's easy to understand a dataset when it's small, just a couple of patients and relatively low number of variables. What do you do if there are many variables or many data? How can we understand what's … Read more