id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_fzksxbt7cfbrlliqou7wypqebm	Wang Jianguo	Application of K-means Algorithm in Geological Disaster Monitoring System	2019	7	.pdf	application/pdf	5257	444	63	Application of K-means Algorithm in Geological Disaster Monitoring System K-means algorithm is that the k data objects are randomly selected from the sample set X as the initial clustering center, K-means algorithm initial center sensitivity and K value improved K-means algorithm for text clustering, which is A. The selection of data object in Cluster analysis algorithm can be used as the initial clustering center optimized initial clustering centers to the k-means algorithm the initial clustering centers selected by the algorithm are far initial clustering number of the data set distribution. means algorithm is used to cluster on the whole data set and clustering result of the traditional k-means algorithm is an data and random selection of initial clustering center, and Initialization Center Algorithm for K-Means Clustering[C]. [7] Application of Improved K-Means Clustering Algorithm in Transit [13] Efficient Data Clustering Algorithms: Improvements over Kmeans[J]. Efficient data clustering algorithm 	./cache/work_fzksxbt7cfbrlliqou7wypqebm.pdf	./txt/work_fzksxbt7cfbrlliqou7wypqebm.txt