Robust classification of animal tracking data

@inproceedings{Schwager2007RobustCO,
  title={Robust classification of animal tracking data},
  author={Mac Schwager and Dean M. Anderson and Zack J. Butler and Daniela Rus},
  year={2007}
}
This paper describes an application of the K-means classification algorithm to categorize animal tracking data into various classes of behavior. It was found that, even without explicit consideration of biological factors, the clustering algorithm repeatably resolved tracking data from cows into two groups corresponding to active and inactive periods. Furthermore, it is shown that this classification is robust to a large range of data sampling intervals. An adaptive data sampling algorithm is… CONTINUE READING
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