Results 91 to 100 of about 9,019,139 (162)
Prediction of cold chain loading environment for agricultural products based on K-medoids-LSTM-XGBoost ensemble model [PDF]
Cold chain loading is a crucial aspect in the process of cold chain transportation, aiming to enhance the quality, reduce energy consumption, and minimize costs associated with cold chain logistics.
Zhijie Luo +4 more
doaj +2 more sources
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 +10 more
wiley +1 more source
Abstract A K-means-like Algorithm for K-medoids Clustering and Its Performance
Clustering analysis is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. This paper proposes a new algorithm for K-medoids clustering which runs like the K-means algorithm and tests several ...
Jong-seok Lee +2 more
core
Clustering All‐Cause Mortality Data: A Review
Summary Mortality data are relevant to demography, public health and actuarial science; such data are high‐dimensional, making broad patterns difficult to identify. Clustering is increasingly used to reveal such patterns, yet a review of its application to all‐cause mortality with a focus on country‐level data is lacking.
Pedro Menezes de Araújo +2 more
wiley +1 more source
IKCS: An Effective Intelligent K-Medoids ClusteringScheme Based on Granularity Rough Entropy
k-Medoids Clustering algorithm is one of the most commonly used clustering methods. However, it does not consider the weight of each feature, and the selection of center points is random, which may affect the clustering results.
Linshu Chen +5 more
doaj +1 more source
Abstract Despite increasing demands for resilient and sustainable supply chains, inventory management often relies on outdated single‐criterion analyses. While multi‐criteria ABC (MCABC) analyses provide a theoretically mature assessment of resilience‐sustainability‐benefit trade‐offs in inventory, their adoption remains limited due to fragmented ...
Lukas Grützner, Michael H. Breitner
wiley +1 more source
ABSTRACT Objective This study quantifies sibling experiences across childhood by birth cohort and maternal education. Background As family structures evolve, sibling complexity—the presence of half and stepsiblings—is becoming more common. Yet, little is known about how sibling constellations unfold across childhood, vary between cohorts, or differ by ...
Liina Junna +3 more
wiley +1 more source
K-MEDOIDS CLUSTERING USING PARTITIONING AROUND MEDOIDS FOR PERFORMING FACE RECOGNITION
Face recognition is one of the most unobtrusive biometric techniques that can be used for access control as well as surveillance purposes. Various methods for implementing face recognition have been proposed with varying degrees of performance in ...
Aruna Bhat
core +1 more source
Quantum Computing Approach in K-Medoids Method for AIDS Disease Prediction Using Manhattan Distance
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 +4 more
doaj +1 more source
PENGELOMPOKAN KABUPATEN/KOTA BERDASARKAN KOMODITAS PERTANIAN MENGGUNAKAN METODE K MEDOIDS
The land in Central Java have a lot of nutrients, so considered suitable for agriculture. North Central Java and some areas in Central Java suitable agriculture for food crops of rice and other crops such as corn, soybeans, peanuts, sweet potatoes and ...
Triastuti Wuryandari +2 more
doaj +1 more source

