Below we describe a toolkit of motion features that both draws on the state of the art in this field and extends it to address unique challenges arising when considering group motion in unbounded domains. To evaluate the effectiveness of the features discussed in this paper, we investigate their...
While big data is increasingly applied in urban studies, a clear understanding of how it integrates with urban form directly remains challenging. Accordingly, the primary identified problem is how big data is applied in the study of urban form, understood in line with Conzen classification [11] a...
Of these three methods, the historical average method produced the lowest number of alerts (see Additional file 4 for visualizations of true anomalies caught using the historical average and DBSCAN method applied to Ubon Ratchathani). Of the 9 methods, 4 methods were unable to identify the ...
Subsequently, the determination of the group leader for each training group is based on their respective credit. The credit of each edge node is computed considering its contribution and training performance. The appointed group leaders of all training groups collectively form a global aggregation ...
[21] uses accelerated fine community partitioning to analyze phenotypes without resampling; FlowGrid [22] integrates DBSCAN [23] with grid-based methods, enhancing the robustness and scalability of DBSCAN for clustering extensive datasets, and selects the optimal parameter configuration using the CH ...
Large amounts of high quality medical data are available to researchers in the form of public databases, which enable more researchers to participate in the process of medical data mining in the hope that the generated results can further guide clinical practice. This article provided a valuable ...
Depending on the research question, hulls can be sorted by a selected property, and then merged together to form isopleths that connect areas with the same numerical value of that property. In the example of Fig. 3c, areas that are used by the participant with the same intensity were ...
Comparison of differentMinptsvalues for DBSCAN Full size image The data of Fig.2indicate that whenMinptsis set to 7, the performance of the clustering is the best. An increase inMinptsis associated with gradual worsening of the performance. The value reflects the lowest number of the sampling ...
At GL-04 it is estimated at a depth of 4.06 – 6.82 m, 6.82 – 13.3 m, 13.3 – 15.4 m, 31.7 – 39.7 m and 39.7 – 76.4 m with an estimated aquifer layer in the form of lahar deposits dominantly sand matrix and conglomerate from the Qls formation Geomechanical simulation to model ...
In sum, real biomedical data frequently takes the form of multivariate normal distributions that are not particularly well separated (Fig. 2, right column), and it is unclear what this means for the suitability of cluster analyses. Fig. 2 This figure shows three datasets in the top row, ...