Results 181 to 190 of about 30,970,765 (331)
A K-means-like algorithm for informetric data clustering
, 2015 The K-means algorithm is one of the most often used clustering techniques. However, when it comes to discovering clusters in informetric data sets that consist of non-increasingly ordered vectors of not necessarily conforming lengths, such a method ...
Anna Cena (13497691) +1 more
core
The global k-means clustering algorithm
Pattern Recognition, 2003 A. Likas, N. Vlassis, J. Verbeek
semanticscholar +1 more source
FEBS Letters, EarlyView.We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source
Journal of Engineering, Project, and Production ManagementThe aging population is intensifying spatiotemporal imbalances in the supply and demand of urban medical and transportation resources. Traditional static planning algorithms need to adapt to the dynamic, clustered nature of demand from elderly residents.
Fei Pang, Yingxu Li, Guo Miao, Yun Shi
doaj +1 more source
FEBS Letters, EarlyView.Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley +1 more source
Production Clustering Using Dynamic Factor Analysis and K-Means++
Journal of Applied Informatics and ComputingClustering of daily production conditions is carried out by utilizing latent factors obtained from PT Indonesia Berlian Yasawirya's operational data.
Dian Septiani Santoso +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
, 2014 One of techniques popular inData Mining is clustering. Defenition clustering in scientific from data miningis some of data or objectsin one group or clusters into cluster so each cluster will containthedataas closely aspossibleanddifferent objects in ...
Nainggolan, Rena
core
Unsupervised classification of epileptic EEG signals with multi scale K-means algorithm
, 2013 Most epileptic EEG classification algorithms are supervised and require large training data sets, which hinders its use in real time applications. This paper proposes an unsupervised multi-scale K-means (MSK-means) algorithm to distinguish epileptic EEG ...
Zhu, Guohun +10 more
core +1 more source
Implementasi KD-Tree K-Means Clustering untuk Klasterisasi Dokumen
Jurnal Teknik ITS, 2013 Klasterisasi dokumen adalah suatu proses pengelompokan dokumen secara otomatis dan unsupervised. Klasterisasi dokumen merupakan permasalahan yang sering ditemui dalam berbagai bidang seperti text mining dan sistem temu kembali informasi.
Eric Budiman Gosno +2 more
doaj