id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
2r36tx33m1x	Bin Xu	New Algorithms for Spatial Data Clustering Problems	2008		.txt	text/plain	215	7	31	Due to the huge sizes and large number of attributes of the input data nowadays, achieving computational efficiency has become a primary objective and a big challenge to data clustering algorithms. Knowledge discovery in spatial (i.e., numerical) data sets is becoming more and more important since increasingly large amounts of spatial data are available and used in key application areas such as public administration, science, and business.	cache/2r36tx33m1x.txt	txt/2r36tx33m1x.txt