Study on application, approach and concept of DMN in segmentation of images
Jian Cao, Guan Ze, De Li · Cehui kexue · 2004
The paper studies concept and method of DMN, analyses its role in spatial data mining, advances new notion of DMN's grainess, and deeply investigates two score metrics (the maximum posterior probability and minimum builtup entropy) which are used in constructing DMN in order to segment images, and explores two algorithms of global and local hunting within DMN for segmentation of images. The researches and experiments indicate that the DMN may apropos reveal abstract adjacent relations existed in data; and the DMN oneself has capabilities of data mining and showing knowledge. Lastly, we point out future works of its application and continue studying.