Advertisement
Published in:
2012 | OriginalPaper | Chapter
Research on Spectral Clustering Based on Latent Semantic Index
Authors : Xia Feng, Guannan Yan
Published in: Software Engineering and Knowledge Engineering: Theory and Practice
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
There is a problem that the text vector dimension is too high and the algorithm is easy to fall into local optimum problem in traditional text clustering. About this problem, this paper presents a spectral clustering method based on Latent Semantic Index (LSI), which uses the advantages of both. Not only analyzed the words and semantic relations between words, but also applies to any shape of the distribution of sample data clustering. The clustering experiment of Aviation Safety Report shows that this method has a good clustering result.