should i use principal component analysis or k-means cluster analysis?
Hi - I am trying to decide the best method of cluster analysis (e.g. principal component analysis, k-means, etc) to use for the following situation. I have a mapped dataset with 12,928 records, each corresponding to a well with sample results. Each row of data (each location on my map) has a well name, latitude, longitude, and results of compound A, compound B, compound C, compound D, compound E...