Port Congestion Evaluation Based on Gaussian Density Clustering——Taking Qingdao Port as an Exampledoi:10.25236/AJHSS.020503Lingyi LiFrancis Academic Press
This technique revealed spatial patterns in the components (i.e., the network properties of regions of the landscape at a given dispersal scale), with the spatial scale of habitat clustering varying with the size of the sliding window and dispersal distance. Using a tool familiar to landscape ...
Melnikov ITMO University melnikov a@corp.ifmo.ru Ilya Kalinovskiy Speech Technology Center kalinovskiy@speechpro.com Andrei Oleinik ITMO University aoleinik@corp.ifmo.ru Eugene Luckyanets ITMO University 152974@niuitmo.ru Abstract Hard example mining is an important part of the deep embedding ...
The idea of acquiring data from different spatial locations simultaneously was first proposed in the 1980s (seeBarth et al., 2016for a historical review). However, the studies that brought widespread attention to the use of MB technique in fMRI were published in 2010 as part of the Human Con...
Most of these algorithms can train on distributed hardware, scale incredibly well, and are faster and cheaper than popular alternatives. k-means is our introductory example for Amazon SageMaker. It walks through the process of clustering MNIST images of handwritten digits using Amazon SageMaker k-...
index 0 --total-workers 1 cnmf combine --output-dir ./example_data --name example_cNMF cnmf k_selection_plot --output-dir ./example_data --name example_cNMF cnmf consensus --output-dir ./example_data --name example_cNMF --components 10 --local-density-threshold 0.01 --show-clustering...
VMS mineral occurrence clustering Source 3.48 − 2.61 6.09 Syn-volcanic faults Transport 2.25 − 1.85 4.11 Bends along syn-volcanic faults Transport 2.84 − 1.49 4.33 Lithological contacts that map the presence of the ancient seafloor Trap 2.63 − 1.48 4.12 Alteration mapped by magnetite destru...
Outlier detection is a useful technique in such areas as fraud detection, financial analysis and health monitoring. Many recent approaches detect outliers according to reasonable, pre-defined concepts of an outlier (e.g., distance-based, density-based, etc.). However, the definition of an outlier...
Davis–Putnam algorithm : check the validity of a first-order logic formula DBSCAN : a density based clustering algorithm DDA line algorithm : plots points of a 2-dimensional array to form a straight line between 2 specified points (uses floating-point math) De Boor algorithm : B-splines ...
Clustering of models throughout the field lifetime in Conclusions This paper demonstrated a way to minimise the number of flow simulation runs through the field development workflows without compromising the uncertainty estimation and update this through the field development stages. This allows us to ...