MATEC Web of Conferences
Volume 22, 2015International Conference on Engineering Technology and Application (ICETA 2015)
|Number of page(s)||7|
|Section||Information and Communication Technology|
|Published online||09 July 2015|
Research on Categorization of Animation Effect Based on Data Mining
Department of Animation, Art College, Henan University, Kaifeng, Henan, China
Nowadays, the production process of animation effect is increasingly developed, and its effect is also growing better. But in most cases, the categorization of special effect added to the animation is confusing due to excessive variations. Data mining will desirably solve the problem of animation effect categorization, so the application of data mining in the animation effect categorization becomes the hot spot in research and analysis at present. This article makes a detailed analysis on relevant algorithm of data mining technology, that is, the k application of averaging method, k central point method and relational degree algorithm in problem of animation effect categorization. It provides a clear method of categorization for animation effect. Thereafter, it also concludes the accuracy of animation effect categorization can be greatly improved through reasonable algorithm integration in the treatment of animation effect categorization by data mining.
Key words: data mining / animation effect categorization / cluster analysis / relational degree
© Owned by the authors, published by EDP Sciences, 2015
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.