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 …

Indoor environmental quality models: A bibliometric, map** and clustering review

IL Niza, GCC Gomes, EE Broday - Renewable and Sustainable Energy …, 2024 - Elsevier
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 …

[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 In many cases, researchers do not publish any …

Acoustic animal identification using unsupervised learning

MJ Guerrero, CL Bedoya, JD López… - Methods in Ecology …, 2023 - Wiley Online Library
Passive acoustic monitoring is usually presented as a complementary approach to
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 …

Inertia-based indices to determine the number of clusters in K-Means: an experimental evaluation

A Rykov, RC De Amorim, V Makarenkov… - IEEE Access, 2024 - ieeexplore.ieee.org
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 …

[HTML][HTML] Global environmental sustainability trends: A temporal comparison using a new interval-based composite indicator

I Petrosillo, EM Lovello, C Drago, C Magazzino… - Environmental and …, 2024 - Elsevier
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 …

On the role of benchmarking data sets and simulations in method comparison studies

S Friedrich, T Friede - Biometrical Journal, 2024 - Wiley Online Library
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 …

[HTML][HTML] Determining the optimal number of clusters by Enhanced Gap Statistic in K-mean algorithm

IK Khan, HB Daud, NB Zainuddin… - Egyptian Informatics …, 2024 - Elsevier
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 …

[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 …