id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_sfc3mik6snaw7buodbobenrsra	Shehroz S. Khan	Cluster center initialization algorithm for K-modes clustering	2013	14	.pdf	application/pdf	12506	1084	66	The proposed algorithm performs multiple clustering of the data based on attribute values in different structure information from multiple attributes by using the attribute values present in the data for computing initial cluster centers. In Section 4, we present the proposed multiple attribute clustering approach to compute initial Bai, Liang, Dang, and Cao (2012) propose a method to compute initial cluster centers on the basis of a density function (defined by using the average distance of all the other points from a algorithm (see Section 4 for details) for finding initial clusters centers for categorical datasets circumvents both the drawbacks discussed earlier i.e. its worst-case time complexity is log-linear in Repeating this process for all the Vanilla/Prominent/Significant attributes yield a number of cluster labels that represent multiple partition views of every data object. Seboreic dermatitis Psoriasis Lichen planus Cronic dermatitis Pityriasis rosea Pityriasis rubra pilaris	./cache/work_sfc3mik6snaw7buodbobenrsra.pdf	./txt/work_sfc3mik6snaw7buodbobenrsra.txt