Title :
Get what you want from Internet using fuzzy k-means clustering algorithm
Author :
Zhu De-Sheng ; Zhou Ming-Qin
Author_Institution :
Coll. of Phys. Sci. & Technol., Yangtze Univ., Jinzhou, China
Abstract :
This paper proposed a new method of getting what you want from Internet using fuzzy k-means clustering algorithm. It used search engine to obtain relevant documents content, then adopted efficient Fuzzy k-means clustering algorithm to cluster all the sentences. The summary sentences were extracted by turns from the clusters. Experimental result shows that the proposed method can improve the performance of summary.
Keywords :
Internet; fuzzy set theory; pattern clustering; search engines; Internet; fuzzy k-means Clustering Algorithm; search engine; Clustering algorithms; Clustering methods; Data mining; Educational institutions; Electronic mail; Frequency estimation; Information retrieval; Internet; Prototypes; Search engines;
Conference_Titel :
Granular Computing, 2009, GRC '09. IEEE International Conference on
Conference_Location :
Nanchang
Print_ISBN :
978-1-4244-4830-2
DOI :
10.1109/GRC.2009.5255009