id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_yua7i7nk7jhmvbqozyerpfcdzm	S HUANG	Structure clustering for Chinese patent documents	2008	8	.pdf	application/pdf	4651	583	61	This paper aims to cluster Chinese patent documents with the structures. map (SOM) is adopted to cluster Chinese patent documents with both similar content and structure. number of patents are proportional to the computing time, which implies the width and depth of structure affects the performance of and Iwayama (2003) provides a rhetorical method to categorize Japanese patent structure into three styles – process SOM provides unsupervised neural network clustering and maps high dimension SOMSD (Sperduti, 2001) applies self-organizing map (SOM) to manipulate structured data. This study is intended to apply Chinese patent documents in structure clustering. Having the structure established, self-organizing map (SOM) is Chapter 3 proposes structured SOM to cluster patents. This paper applies structured SOM in Chinese patents and tries to identify similar With 10 documents in five iteration of 5 · 5 map, structured SOM is Structure clustering for Chinese patent documents Structure clustering for Chinese patent documents	./cache/work_yua7i7nk7jhmvbqozyerpfcdzm.pdf	./txt/work_yua7i7nk7jhmvbqozyerpfcdzm.txt