Results 81 to 90 of about 9,019,139 (162)

Global Variation in Timing of Allergenic Food Introduction for Food Allergy Prevention: An International Survey of Healthcare Professionals

open access: yesAllergy, EarlyView.
This study examines the current state of food allergy prevention guideline implementation worldwide, identifying key variables that may explain the observed global variation. Among 731 healthcare professionals across 80 countries, geography and clinical specialty independently drove allergenic food introduction practices, creating an 8.5‐month practice
Agnes Sze‐yin Leung   +20 more
wiley   +1 more source

Simple K-Medoids Partitioning Algorithm for Mixed Variable Data

open access: yesAlgorithms, 2019
A simple and fast k-medoids algorithm that updates medoids by minimizing the total distance within clusters has been developed. Although it is simple and fast, as its name suggests, it nonetheless has neglected local optima and empty clusters that may ...
Weksi Budiaji, Friedrich Leisch
doaj   +1 more source

Classification of Seasonal Allergic Rhinitis Patients by Prospective Patient‐Recorded Symptoms: The @IT.2020 Project

open access: yesAllergy, EarlyView.
Daily prospective symptom reports from participants in this multicentre observational study were compared to retrospective (last 12 months) reports based on ARIA clinical questionnaire. Retrospective reports substantially underestimated, and to a lesser extent overestimated, symptom frequency compared to e‐Diary prospective reports. Since retrospective
S. Dramburg   +56 more
wiley   +1 more source

Comparison of partial orders clustering techniques

open access: yesТруды 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

Adaptive Sampling for BRDF Acquisition

open access: yesComputer Graphics Forum, EarlyView.
We propose a data‐driven adaptive sampling strategy that predicts the optimal sampling pattern and count for BRDF acquisition from a single image, reducing capture time while preserving quality. Abstract The bidirectional reflectance distribution function (BRDF) describes the ratio of incoming radiance to outgoing radiance for all possible pairs of ...
Behnaz Kavoosighafi   +3 more
wiley   +1 more source

PERBANDINGAN K-MEANS DAN K-MEDOIDS DALAM PENGELOMPOKKAN KOMODITAS EKSPOR INDUSTRI DI INDONESIA [PDF]

open access: yes
International trade plays a crucial role in Indonesia's economic growth, particularly through industrial commodity exports. However, its heavy dependence on a few key commodities makes it vulnerable to global market fluctuations.
Fitrianto, Anwar   +4 more
core   +1 more source

Block-Based K-Medoids Partitioning Method with Standardized Data to Improve Clustering Accuracy

open access: yes, 2022
Most of the existing k-medoid algorithms select the initial medoid randomly or use a specific formula based on the proximity matrix. This study proposes a block-based k- medoids partitioning method for clustering objects.
Abdurakhman, Abdurakhman   +4 more
core   +1 more source

Assessing the effectiveness of Sri Lankan marine protected areas: Challenges and recommendations

open access: yesConservation Science and Practice, EarlyView.
We evaluated the biodiversity conservation effectiveness of 32 zones of Sri Lankan marine protected areas (MPA) and found that most are currently insufficiently protected. Threats to MPAs were not uniform, with harmful dredging/dumping, anchoring, fishing, and non‐extractive activities identified as major pressures affecting different sets of MPAs.
Barbora Winterová   +3 more
wiley   +1 more source

Um Algoritmo para o Agrupamento Baseado em K-Medoids

open access: yes, 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   +3 more
core  

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

open access: yesTechno.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   +4 more
doaj   +1 more source

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