id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_psegqzocp5c6tdslpbvt6fmyre	Xue Linyao	Improved K-means Algorithm Based on optimizing Initial Cluster Centers and Its Application	2017	8	.pdf	application/pdf	3459	253	61	Keywords: Clustering analysis, improved K-means algorithm, geological disaster monitoring data the research object, which are served as a representative sample of the improved K-means clustering product based on mean and maximum distance to optimize the initial clustering center. first selects the set of data objects which are the farthest from the sample set to join the clustering center, a k-means algorithm to optimize the initial clustering center by using the minimum variance based on Improved K-means Algorithm Based on optimizing Initial Cluster Centers and Its Application Improved K-means Algorithm Based on optimizing Initial Cluster Centers and Its Application Improved K-means Algorithm Based on optimizing Initial Cluster Centers and Its Application value of the traditional k-means algorithm because the data objects in the optimized cluster are more variance, a k-means clustering algorithm is proposed to optimize the initial clustering center. [7] Application of Improved K-Means Clustering Algorithm in Transit Data Collection.	./cache/work_psegqzocp5c6tdslpbvt6fmyre.pdf	./txt/work_psegqzocp5c6tdslpbvt6fmyre.txt