id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_bjolsjb5sjgodjqh5cmgkbs3ky	Daniel Alcaide	MCLEAN: Multilevel Clustering Exploration As Network	2018	19	.pdf	application/pdf	7745	722	54	Keywords Exploratory data analysis, Graph and network visualization, Hierarchical clustering, How to cite this article Alcaide and Aerts (2018), MCLEAN: Multilevel Clustering Exploration As Network. since it allows users to participate in the clustering process by leveraging their visual (Multilevel Clustering Exploration As Network) for grouping and visualizing multiple visual exploratory and clustering method that permits the user to interact with the algorithm a set of examples of visual multilevel clustering and the network transformation of data to Figure 1 Workflow diagram of MCLEAN algorithm, consisting of four steps: (1) graph transformation, (2) node aggregation, (3) community detection and, (4) barcode-tree creation. Figure 4 Network representation of the clustered dataset using a parameter ε of 150 in part (A), 190 in Figure 6 Network representation of the clustered dataset using the distance threshold of 150 in part The barcode-tree (Fig. 7) is a visual representation of cluster arrangement.	./cache/work_bjolsjb5sjgodjqh5cmgkbs3ky.pdf	./txt/work_bjolsjb5sjgodjqh5cmgkbs3ky.txt