Additional File 3.Figure_S3.pdf. Determining the optimal number of clusters for clustering temporal SRI trajectories. Bayesian Information Criterion (BIC) as a function of the number of clusters, K, into which the temporal SRI trajectories are partitioned by the K-means algorithm. Light gray curves represent 100 K-means clustering runs with random initial conditions. Thick black curve represents the mean over these runs. The mean BIC curve peaks at K = 6 indicating that there are 6 typical shapes of temporal SRI trajectories. Format: PDF Size: 274KB Download file This file can be viewed with: Adobe Acrobat Reader de Silva et al. BMC Ecology 2011 11:17 doi:10.1186/1472-6785-11-17 |