Results 81 to 90 of about 9,620,800 (176)

Accelerating the prioritisation of plant species with underexplored medicinal potential: The pm4mp (Phylogenetic Methods for Medicinal Plants) R package

PLANTS, PEOPLE, PLANET, Volume 8, Issue 6, Page 2061-2079, November 2026.
Medicinal plants used in ethnobotanical traditions to treat or prevent diseases have gained renewed interest for their largely untapped potential in drug discovery. In this study, we developed and tested novel methods to prioritise plant species based on their unexplored medicinal potential. By enabling researchers to target the most promising species,
Giovanni Zecca, Elisa Toini, Massimo Labra, Fabrizio Grassi   +3 more
wiley   +1 more source

Um Algoritmo para o Agrupamento Baseado em K-Medoids

, 2016
Descreve-se um novo algoritmo para um problema clássico de agrupamento, conhecido como problema dos k-medoids. Esse problema é análogo ao problema das k-médias, cuja resolução encontra aplicação frequente na fase de estratificação em amostragem ...
Brito, Jose Andre de Moura, Brito, Luciana Roque, Ochi, Luiz Satoru, Montenegro, Flavio Marcelo Tavares   +3 more
core  

Brazil seed transfer zones: Supporting seed sourcing for climate‐resilient ecosystem restoration

PLANTS, PEOPLE, PLANET, Volume 8, Issue 6, Page 2293-2305, November 2026.
Brazil has tens of millions of hectares of degraded land that must be restored to meet national and global biodiversity and climate goals. Sowing genetically diverse native seeds is key to restoring degraded lands to climate‐resilient landscapes, but we still lack guidance on how to effectively match seed sources to restoration sites across broad ...
Mateus Silva, André Braga Junqueira, Pedro Guimarães, Danielle Celentano, Beatriz Murer, Tobias Fremout, Evert Thomas, Christopher Kettle, Edjane Damasceno, Adler Medeiros, Rodrigo Dutra‐Silva, Fabian Borghetti, Fatima Piña‐Rodrigues, Anabele Gomes, Veronica Maioli, R. Toby Pennington, Lucy Rowland, Eduardo Malta   +17 more
wiley   +1 more source

BanditPAM++: Faster $k$-medoids Clustering [PDF]

, 2023
Clustering is a fundamental task in data science with wide-ranging applications. In $k$-medoids clustering, cluster centers must be actual datapoints and arbitrary distance metrics may be used; these features allow for greater interpretability of the ...
Shomorony, Ilan, Kang, Ryan, Lee, Donghyun, Zhang, Martin Jinye, Thrun, Sebastian, Piech, Chris, Tiwari, Mo   +6 more
core  

Exploratory Analysis of Type 2 Diabetes Mellitus Metabolic Phenotypes and Their Association With Vitamin D Status in Primary Care Patients

Diabetes, Obesity and Metabolism, Volume 28, Issue 11, Page 10603-10614, November 2026.
ABSTRACT Aims This study aimed to perform an exploratory characterisation of metabolic phenotypes in primary care patients with type 2 diabetes mellitus (T2DM), using a predefined approach and examine their association with vitamin D status. Materials and Methods This cross‐sectional study included 178 participants randomly selected in Sergipe, Brazil.
Liliane Viana Pires, Matheus Menezes‐Santos, Andréa Costa Goes, Heitor Siqueira Ribeiro, Luana Ferreira Alves, Beatriz Cruz dos Santos, Jéssyca Teles Barreto, Roberta Cristina Vieira Meneses, Ana Mara de Oliveira e Silva, Ana Hermínia Andrade e Silva, Sadraque Eneas de Figueiredo Lucena   +10 more
wiley   +1 more source

Perbandingan Algoritma Klasterisasi dengan Principal Component Analysis pada Indikator Sosial Ekonomi Kesehatan Jawa Timur

Techno.Com
K-Means dan K-Medoids digunakan untuk menilai indikator sosial ekonomi dan kesehatan di Provinsi Jawa Timur tahun 2023 melalui metode klasterisasi. Dengan menggunakan Principal Component Analysis (PCA) untuk mereduksi dimensi variabel, penelitian ini ...
Uswatun Hasanah, Monica Rahma Fauziah, Anwar Fitrianto, Erfiani Erfiani, L.M. Risman Dwi Jumansyah   +4 more
doaj   +1 more source

Comparison of partial orders clustering techniques

Труды Института системного программирования РАН, 2018
In this paper, we compare three approaches of clustering partial ordered subsets of a set of items. First approach was k-medoids clustering algorithm with distance function based on Levenshtein distance.
A. Raskin
doaj   +1 more source

Unsupervised Patch‐Based Ecoregion Classification in Austria Using DEM‐Derived Features, Deep Learning, and Climate Data

Transactions in GIS, Volume 30, Issue 7, November 2026.
ABSTRACT Digital elevation models (DEMs) are widely used to characterize terrain and support applications ranging from geomorphology to environmental management. While traditional analyses rely on handcrafted geomorphometric features, advances in machine learning enable richer, data‐driven representations of topographic surfaces.
Thomas Schneidergruber, Johannes Scholz
wiley   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, Volume 28, Issue 20, 21 October 2026.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source

Quantum Computing Approach in K-Medoids Method for AIDS Disease Prediction Using Manhattan Distance

Ilkom Jurnal Ilmiah
Acquired Immunodeficiency Syndrome (AIDS) caused by the Human Immunodeficiency Virus (HIV) is one of the deadliest infectious diseases in the world. Understanding its spread and epidemiological characteristics is crucial for developing and preventing ...
Mochamad Wahyudi, Imeldi Sintagel br Sianipar, Lise Pujiastuti, Solikhun Solikhun, Deny Kurniawan   +4 more
doaj   +1 more source