01053nas a2200145   4500008004100000245009600041210006900137520054000206653002500746653002100771653002800792653002300820100002500843856003900868       2017                        eng d00aThe Clustering of Acoustic Indices derived from Long-duration Recordings of the Environment0 aClustering of Acoustic Indices derived from Longduration Recordi3 a<p>This paper outlines the recording dataset and methods used to choose a clustering algorithm for a large twenty-six month acoustic dataset. The recordings were of the natural environment and consist of thirteen months of recording from each of two sites in two national parks 160 km north of Brisbane, Queensland. This paper also explains the calculation and use of the intra-three-day-distance (I3DD) error measure used to determine the optimum clustering result. Site maps and photos are provided at the end of this document.</p>
10aacoustic environment10aacoustic indices10ahierarchical clustering10ak-means clustering1 aPhillips, Yvonne, F.  uhttps://eprints.qut.edu.au/110659/