학술논문
WDM: A New Efficient Visualization Method of Classifying Web Documents Based on SOM
Document Type
Conference
Source
2006 International Conference on Computational Intelligence and Security Computational Intelligence and Security, 2006 International Conference on. 1:809-814 Nov, 2006
Subject
Language
Abstract
We propose a new visualization method WDM to classify documents by adding in the position-factors of words such as the title-factor and the first-sentence-factor based on a SOM neural network. We also discuss the selection of the function which is used to calculate the belong-to-probability in neurons' reflecting process. The experimental results indicate that WDM makes the boundaries of different documents greatly more clear, and thus it can produce more accurate and intuitive classification compared to the visualization methods which do not have position-factors considered.