Each landscape will grow different types of trees and in turn substantiate a part of the country's economy. This paper uses visualization and machine learning (ML) processes to classify the forest land on the t
Keywords: Phylogenetic tree, Data integration, Clustering, Visualization Background Phylogenetic trees are increasingly used to visualize com- parative information in an evolutionary context [1], e.g. comparing strands of viruses and genes within different clades to find new ways of classifying and ...
This offers an intuitive means of quantifying uncertainty in sample placements for SARS-CoV-2 phylogenies. Our placement approach and related data visualization tools are available from the University of California Santa Cruz (UCSC) SARS-CoV-2 Genome Browser28 and will empower genomic contact tracing...
I recently found some data about city-owned street-trees in Seattle and Iput it into Tableauto take a look and really had a new appreciation for how important it is to understand your data. I’m not sure I would have been able to create a meaningful visualization or that I would have ...
Sign inOutline Highlights Abstract Keywords 1. Introduction 2. Long-distance timber transport and the key question: where did the trees grow? 3. Approaches to establish the provenance of the timber 4. Short tree-ring series and the potential of oxygen isotope chronologies 5. Non-invasive ...
satellite data and high-performance computing. Average carbon stocks of individual trees ranged from 0.54 Mg C ha−1and 63 kg C tree−1in the arid zone to 3.7 Mg C ha−1and 98 kg tree−1in the sub-humid zone. Overall, we estimated the total carbon ...
Prodel, M., Laurent, M., De Oliveira, H., Lamarsalle, L., Vainchtock, A.: PCN273 Meta-TAK, a Scalable Double-Clustering Method for Treatment Sequences Visualization: Case Study in Breast Cancer Using Claim DATA. Value in Health, 23, S471 12 (2020). ISSN 1098-3015. https://doi....
Paired hierarchical visualizations (PairTrees) integrate treemaps,node-link diagrams, choropleth maps and other information visualizationtechniques to support exploration of hierarchical data sets at multiplelevels of abstraction. This paper describes several novel applications ofPairTrees in the econometric an...
Data Mining - (Discriminative|conditional) models Discriminative models, also called conditional models, are a class of models used in machine learning for modeling the dependence of an unobserved variable y on an observed variable x. Discriminative... Data Mining - Decision boundary Visualization Cl...
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