Identifying risk patterns in older adults with atrial fibrillation by hierarchical cluster analysis: A retrospective approach based on the risk probability for clinical events

Unpredictable and uncontrollable situations have happened throughout history. Inevitably, such situations have an impact on various spheres of life. The coronavirus disease 2019 has affected many of them, including sports. The ban on social gatherings has caused the cancellation of many sports competitions. This paper proposes a methodology based on hierarchical cluster analysis (HCA) that can be applied when a need occurs to end an interrupted tournament and the conditions for playing the remaining matches are far from ideal. The proposed methodology is based on how to conclude the season for Serie A, a top-division football league in Italy. The analysis showed that it is reasonable to play 14 instead of the 124 remaining matches of the 2019–2020 season to conclude the championship. The proposed methodology was tested on the past 10 seasons of the Serie A, and its effectiveness was confirmed. This novel approach can be used in any other sport where round-robin tournaments exist.

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The effectiveness of European energy policy on the Italian system: Regional evidences from a hierarchical cluster analysis approach

Energy Policy ◽

10.1016/j.enpol.2019.05.021 ◽

2019 ◽

Vol 132 ◽

pp. 47-61 ◽

Cited By ~ 9

Author(s):

Roberta Arbolino ◽

Raffaele Boffardi ◽

Giuseppe Ioppolo

Keyword(s):

Cluster Analysis ◽

Energy Policy ◽

Hierarchical Cluster Analysis ◽

Hierarchical Cluster ◽

Analysis Approach ◽

European Energy Policy

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Applying the Hierarchical Cluster Analysis Procedure Upon the Process of Yield Management—

Journal of Travel & Tourism Marketing ◽

10.1300/j073v16n04_07 ◽

2004 ◽

Vol 16 (4) ◽

pp. 47-58 ◽

Cited By ~ 10

Author(s):

Randall S. Upchurch ◽

Taylor Ellis ◽

Junwon Seo

Keyword(s):

Cluster Analysis ◽

Hierarchical Cluster Analysis ◽

Hierarchical Cluster ◽

Analysis Procedure ◽

Yield Management

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Detection of drought events in Greece using daily precipitation

Hydrology Research ◽

10.2166/nh.2010.001 ◽

2010 ◽

Vol 41 (2) ◽

pp. 126-133 ◽

Cited By ~ 14

Author(s):

N. Kalamaras ◽

H. Michalopoulou ◽

H. R. Byun

Keyword(s):

Cluster Analysis ◽

Hierarchical Cluster Analysis ◽

Daily Precipitation ◽

Hierarchical Cluster ◽

Seasonal Distribution ◽

Drought Severity ◽

Severe Drought ◽

Analysis Method ◽

Cluster Analysis Method ◽

Insight Into

In this study a method proposed by Byun & Wilhite, which estimates drought severity and duration using daily precipitation values, is applied to data from stations at different locations in Greece. Subsequently, a series of indices is calculated to facilitate the detection of drought events at these sites. The results provide insight into the trend of drought severity in the region. In addition, the seasonal distribution of days with moderate and severe drought is examined. Finally, the Hierarchical Cluster Analysis method is used to identify sites with similar drought features.

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An investigation on conceptual understanding about cosmology

Proceedings of the International Astronomical Union ◽

10.1017/s174392132100096x ◽

2019 ◽

Vol 15 (S367) ◽

pp. 397-399

Author(s):

Arturo Colantonio ◽

Irene Marzoli ◽

Italo Testa ◽

Emanuella Puddu

Keyword(s):

High School ◽

Cluster Analysis ◽

High School Students ◽

Conceptual Understanding ◽

Hierarchical Cluster Analysis ◽

Hierarchical Cluster ◽

Content Area ◽

School Students ◽

Convenience Sample ◽

Teaching Activities

AbstractIn this study, we identify patterns among students beliefs and ideas in cosmology, in order to frame meaningful and more effective teaching activities in this amazing content area. We involve a convenience sample of 432 high school students. We analyze students’ responses to an open-ended questionnaire with a non-hierarchical cluster analysis using the k-means algorithm.

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