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A white paper on good research practices in benchmarking: The case of cluster analysis
I Van Mechelen, AL Boulesteix, R Dangl… - … : Data Mining and …, 2023 - Wiley Online Library
To achieve scientific progress in terms of building a cumulative body of knowledge, careful
attention to benchmarking is of the utmost importance, requiring that proposals of new …
attention to benchmarking is of the utmost importance, requiring that proposals of new …
Indoor environmental quality models: A bibliometric, map** and clustering review
Indoor environmental quality (IEQ) plays an essential role within buildings, impacting health,
well-being and productivity, considering that individuals spend much of their daily lives …
well-being and productivity, considering that individuals spend much of their daily lives …
[HTML][HTML] Recommendations for validating hierarchical clustering in consumer sensory projects
A Gere - Current Research in Food Science, 2023 - Elsevier
Choosing the proper hierarchical clustering algorithm and number of clusters is always a
key question in consumer sensory projects. In many cases, researchers do not publish any …
key question in consumer sensory projects. In many cases, researchers do not publish any …
Acoustic animal identification using unsupervised learning
Passive acoustic monitoring is usually presented as a complementary approach to
monitoring wildlife communities and assessing ecosystem conditions. Automatic species …
monitoring wildlife communities and assessing ecosystem conditions. Automatic species …
Machine Learning‐Enhanced Triboelectric Sensing Application
R Shang, H Chen, X Cai, X Shi, Y Yang… - Advanced Materials …, 2024 - Wiley Online Library
Triboelectric nanogenerator (TENG) has become a promising candidate for wearable
energy harvesting and self‐powered sensing systems. However, processing large amounts …
energy harvesting and self‐powered sensing systems. However, processing large amounts …
Inertia-based indices to determine the number of clusters in K-Means: an experimental evaluation
This paper gives an experimentally supported review and comparison of several indices
based on the conventional K-means inertia criterion for determining the number of clusters …
based on the conventional K-means inertia criterion for determining the number of clusters …
[HTML][HTML] Global environmental sustainability trends: A temporal comparison using a new interval-based composite indicator
Assessing progress on the pursuit of the Sustainable Development Goals is crucial for
evaluating the sustainability of a Country, although this is not easy, considering the …
evaluating the sustainability of a Country, although this is not easy, considering the …
On the role of benchmarking data sets and simulations in method comparison studies
Method comparisons are essential to provide recommendations and guidance for applied
researchers, who often have to choose from a plethora of available approaches. While many …
researchers, who often have to choose from a plethora of available approaches. While many …
[HTML][HTML] Determining the optimal number of clusters by Enhanced Gap Statistic in K-mean algorithm
Unsupervised learning, particularly K-means clustering, seeks to partition data into clusters
with distinct intra-class cohesion and inter-class disparity. However, the arbitrary selection of …
with distinct intra-class cohesion and inter-class disparity. However, the arbitrary selection of …
[HTML][HTML] Categorisation of urban open spaces for heat adaptation: A cluster based approach
A Villaverde, I Álvarez, E Rojí, L Garmendia - Building and Environment, 2024 - Elsevier
In the context of climate change, adapting a city's open spaces to heat waves and extreme
heat is crucial for mitigating the Urban Heat Island effect and ensuring the wellbeing of its …
heat is crucial for mitigating the Urban Heat Island effect and ensuring the wellbeing of its …