id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
vphill-com-1478		mark e. phillips journal			.html	text/html	13736	900	78	UNTSW UNTETD OSTI TRAIL OTA TDNP MDID CRSR JNDS UNTGW One of the things that we were excited about when we adding the Clustering Dashboard to the UNT Libraries' Edit system was the ability to experiment with new algorithms for grouping or clustering metadata values. As I mentioned at the beginning of the post, one of the things that we were excited about when we implemented the Cluster Dashboard was the ability to try out different algorithms for looking at our metadata. In this post we are going to look at the data for the 10,427,111 user sessions that we generated from the 2017 Apache access logs from the UNT Libraries Digital Collections. The first thing you see when you load up the Cluster Dashboard is a quick bit of information about how many records, collections, and partners you are going to be working on values from.	./cache/vphill-com-1478.html	./txt/vphill-com-1478.txt