Results 61 to 70 of about 25,970,551 (304)
Clustering for point pattern data [PDF]
2016 23rd International Conference on Pattern Recognition (ICPR), 2016 Preprint: 23rd Int. Conf. Pattern Recognition (ICPR).
Nhat-Quang Tran +3 more
openaire +3 more sources
The human gut microbiome across the life course
FEBS Letters, EarlyView.Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source
Influence of Compact Memristors’ Stability on Machine Learning
IEEE Access, 2019 Memristors attract wide attention due to its high integration and parallel computation, having great potential to promote the development of machine learning.
Ruohua Zhu +7 more
doaj +1 more source
Applied Sciences, 2023 In order to establish a highly efficient P system for resolving clustering problems and overcome the computation incompleteness and implementation difficulty of P systems, an attractive clustering membrane system, integrated with enhanced particle swarm ...
Lin Wang +5 more
doaj +1 more source
From mice to humans—divergent strategies for intestinal homeostasis and regeneration
FEBS Letters, EarlyView.Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
, 2017 Data clustering can be associated with and used in many research methodologies and application areas. In this chapter, the basics of data clustering and some kind of its applications are given with examples and a real data set.
Gunes, Fatih, Basaran, Bulent
core +1 more source
GPU Hızlandırmalı Veri Demetleme Algoritmalarının İncelenmesi
Online Academic Journal of Information Technology, 2013 Veri demetleme algoritmaları, arama; spam, saldırı tespiti; hücre, gen, doküman analizi; moleküler dinamik simülasyonlarının biçimlerinin analizi gibi uygulamalar için oldukça önemlidirler.
Murat Hacıömeroğlu +1 more
doaj +1 more source
Sensors, 2022 Clustering using fuzzy C-means (FCM) is a soft segmentation method that has been extensively investigated and successfully implemented in image segmentation. FCM is useful in various aspects, such as the segmentation of grayscale images. However, FCM has
Waleed Alomoush +6 more
doaj +1 more source
High-dimensional data clustering [PDF]
Computational Statistics & Data Analysis, 2007 Clustering in high-dimensional spaces is a difficult problem which is recurrent in many domains, for example in image analysis. The difficulty is due to the fact that high-dimensional data usually live in different low-dimensional subspaces hidden in the original space.
Bouveyron, Charles +2 more
openaire +7 more sources
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source