A Research on Behavior of Sleepy Lizards Based on KNN Algorithm

Xiaolv Guo, Shu-Chuan Chu, Lin-Lin Tang, John Roddick, Jeng-Shyang Pan

    Research output: Contribution to conferencePaper

    2 Citations (Scopus)

    Abstract

    A new research method for the sleepy lizards based on the KNN algorithm and the traditional social network algorithms is proposed in this paper. The famous paired habit of sleepy lizards is verified here based on our proposed algorithm. In addition, some common population characteristics of the lizards are also introduced by using the traditional social net work algorithms. Good performance of the experimental results shows efficiency of the new research method.

    Original languageEnglish
    Pages109-118
    Number of pages10
    DOIs
    Publication statusPublished - 27 Mar 2012
    Event4th Asian Conference -
    Duration: 19 Mar 2012 → …

    Conference

    Conference4th Asian Conference
    Period19/03/12 → …

    Keywords

    • K-Nearest Neighbor (KNN) Algorithm
    • Sleep Lizard
    • Social Network Analysis (SNA)

    Cite this

    Guo, X., Chu, S-C., Tang, L-L., Roddick, J., & Pan, J-S. (2012). A Research on Behavior of Sleepy Lizards Based on KNN Algorithm. 109-118. Paper presented at 4th Asian Conference, . https://doi.org/10.1007/978-3-642-28490-8_12