Research on Categorization of Animation Effect Based on Data Mining

• Main Author: Ni Na
• Format: Article
• Language: English
• Published: EDP Sciences 2015-01-01
• Series: MATEC Web of Conferences
• Subjects: data mining; animation effect categorization; cluster analysis; relational degree
• Online Access: http://dx.doi.org/10.1051/matecconf/20152201020

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.