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Clustering Patterns Connecting COVID-19 Dynamics and Human Mobility Using Optimal Transport

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Clustering Patterns Connecting COVID-19 Dynamics and Human Mobility Using Optimal Transport

Clustering Patterns Connecting COVID-19 Dynamics and Human Mobility Using Optimal Transport

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$39.00
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Price
$39.00

Overview

 

Included in this package are the Knime workflow, ready to use datasets, outputs and summary deck. The objective is to create new computational framework to measure and compare the temporal relationships between human mobility and new cases of COVID-19 across more than 150 cities of the United States with relatively high incidence of the disease.

 

 

Directions

 

Step 1: Download the package from the URL provided

Step 2: Open KNIME

Step 3: Import KNIME workflow file

Step 4: Configure “Input Data” for each table and figure

Step 5: Click Run function from the top menu

Step 6: Display the outputs

 

 

Product Details

Author CDL
Creator Tao Hu
Format A link will be emailed to you after purchase
Discount 100% for Premium and Elite members
Refund Policy No refund
Published Date 06/24/2021
Image of Workflow
Clustering Patterns Connecting COVID-19 Dynamics and Human Mobility Using Optimal Transport
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Category
KNIME Workflow

Overview

 

Included in this package are the Knime workflow, ready to use datasets, outputs and summary deck. The objective is to create new computational framework to measure and compare the temporal relationships between human mobility and new cases of COVID-19 across more than 150 cities of the United States with relatively high incidence of the disease.

 

 

Directions

 

Step 1: Download the package from the URL provided

Step 2: Open KNIME

Step 3: Import KNIME workflow file

Step 4: Configure “Input Data” for each table and figure

Step 5: Click Run function from the top menu

Step 6: Display the outputs

 

 

Product Details

Author CDL
Creator Tao Hu
Format A link will be emailed to you after purchase
Discount 100% for Premium and Elite members
Refund Policy No refund
Published Date 06/24/2021