Results 71 to 80 of about 4,729 (197)
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
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Journal of Marriage and Family, EarlyView.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
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Kernel $k$-Medoids as General Vector Quantization
2025 IEEE International Conference on Quantum Artificial Intelligence (QAI)Vector Quantization (VQ) is a widely used technique in machine learning and data compression, valued for its simplicity and interpretability. Among hard VQ methods, $k$-medoids clustering and Kernel Density Estimation (KDE) approaches represent two prominent yet seemingly unrelated paradigms -- one distance-based, the other rooted in probability ...
Thore Gerlach +2 more
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Veterinary and Comparative Oncology, EarlyView.ABSTRACT Gene expression profiling (GEP) is being used with increasing frequency to characterise canine tumours, but canine samples are often not collected in a medium to preserve RNA. Cytology samples from human tumours have been shown to provide adequate RNA for GEP using NanoString nCounter technology, suggesting a similar approach might be viable ...
McKenzie Olsen +5 more
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Document Clustering using K-Means and K-Medoids
CoRR, 2015 With the huge upsurge of information in day-to-days life, it has become difficult to assemble relevant information in nick of time. But people, always are in dearth of time, they need everything quick. Hence clustering was introduced to gather the relevant information in a cluster. There are several algorithms for clustering information out of which in
Rakesh Chandra Balabantaray +2 more
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Successful Single‐Session Neural Self‐Regulation Through Neurofeedback Varies Between Features
Human Brain Mapping, Volume 47, Issue 11, August 2026.We demonstrate that the ‘non‐learner’ problem is not a universal personal trait: using an intra‐subject cross‐over design, all participants successfully regulated multiple rhythms despite failing to modulate Theta. We identify distinct learning trajectories, highlighting the importance of frequency specificity in neural self‐regulation.
Syrjänen E, Silva J, Astrand E
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Techno.ComK-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
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Monotone Clusters With Ordinal Interpretation
Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 4, August 2026.ABSTRACT There has been a growing demand in various sectors, such as healthcare, finance, and social sciences, for clustering methods that not only find quality clusters in data but also provide inherent order among the clusters for better decision‐making and risk assessment. Traditional clustering methods, though effective at grouping data, often fall
Hee Cheol Chung +3 more
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Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.Abstract We develop a sensitivity‐guided, surrogate‐assisted Bayesian framework to infer fracture network parameters from elastic waves. Synthetic fracture networks characterized by power‐law length exponent a $a$, fracture density d $d$, and percolation parameter p $p$ are constructed.
Le Zhang +4 more
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Child &Family Social Work, Volume 31, Issue 3, Page 1956-1976, August 2026.ABSTRACT Individuals with child protection service (CPS) experience face increased risks of social exclusion and unemployment. Employment is vital for both financial stability and health. Teenagers in out‐of‐home care (OHC) are particularly vulnerable to unemployment.
Trine Holten, Kirsti Klem Valset
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