In this paper, we introduce new spatial and temporal similarity measurements between flows and propose a new clustering approach of flow data based on a stepwise strategy. This method can identify ...

Registered data were clustered using the SWIFT algorithm, and cluster template competition was used to identify clusters of antigen-responsive T cells and to separate these from constitutive cytokine ...

In contrast, non-normally distributed continuous variables were presented using median and interquartile range (IQR), namely M (Q1 - Q3), and compared by the Mann–Whitney U -test. The k-means ...

The Data Science Lab Data Clustering Using a Self-Organizing Map (SOM) with C# Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on technique for visualizing and ...

Little is done about grouping emails into campaigns with the goal of better supporting staff who mitigate phishing using reported phishing. This paper explores the feasibility of using clustering ...

Using BIM in construction can catch construction errors and lower project costs by exposing inconsistencies early. BIM's capacity to take data and extend its use by giving it significance to other ...

Many businesses use data flows and there are reasons why these need to be carefully constructed, as we outline here.