Results 141 to 150 of about 11,198,909 (310)

Upcoming Conferences

open access: yesBulletin of the History of Archaeology, 2009
Bernard K. Means
doaj   +1 more source

Comparative Study of Earthquake Clustering in Indonesia Using K-Medoids, K-Means, DBSCAN, Fuzzy C-Means and K-AP Algorithms

open access: yesJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Indonesia’s frequent earthquakes, caused by its position at the convergence of multiple tectonic plates, Indonesia's frequent earthquakes, caused by its position at the convergence of multiple tectonic plates, necessitate precise seismic zone ...
Nurfidah Dwitiyanti   +2 more
doaj   +1 more source

From mice to humans—divergent strategies for intestinal homeostasis and regeneration

open access: yesFEBS 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

Analisis Karakteristik Mahasiswa Berdasarkan Nilai Kelompok Mata Kuliah dengan Menggunakan Analisis Cluster K-Means

open access: yes, 2019
Indeks Prestasi (IP) adalah nilai yang dihitung berdasarkan jumlah beban studi yang diambil dalam satu semester dikalikan dengan bobot prestasi tiap-tiap mata kuliah kemudian dibagi dengan jumlah beban kredit yang diambil. IPK merupakan IP kumulatif dari
Yahdin, Sugandi   +2 more
core   +1 more source

FT K-Means: A High-Performance K-Means on GPU with Fault Tolerance

open access: yes2024 IEEE International Conference on Cluster Computing (CLUSTER)
K-means is a widely used algorithm in clustering, however, its efficiency is primarily constrained by the computational cost of distance computing. Existing implementations suffer from suboptimal utilization of computational units and lack resilience against soft errors.
Shixun Wu   +10 more
openaire   +2 more sources

PARK(ing) time–How park deficiency affects the biological clock in a Drosophila model of Parkinson's disease

open access: yesFEBS Letters, EarlyView.
Drosophila park mutants serve as a model for Parkinson's disease. We used this strain to investigate the connection between oxidative stress and the circadian clock mechanism. We showed that increased oxidative stress affects the physiology of pacemaker cells, disrupting their daily structural plasticity. Lack of rhythmic signaling from pacemaker cells
Kamila Zientara   +3 more
wiley   +1 more source

Analysis on local optimum existence form of K-means-type

open access: yes, 2014
With the hypothesis of Gaussian distribution of patterns, K-means and its extensions are good for clustering. As the representative of partitional clustering algorithm, K-means follows rules for running: numbers of clusters to be set, cluster ...
Xia QH(夏庆华)   +8 more
core  

Global k-means++: an effective relaxation of the global k-means clustering algorithm

open access: yesApplied Intelligence
The $k$-means algorithm is a prevalent clustering method due to its simplicity, effectiveness, and speed. However, its main disadvantage is its high sensitivity to the initial positions of the cluster centers. The global $k$-means is a deterministic algorithm proposed to tackle the random initialization problem of k-means but its well-known that ...
Georgios Vardakas, Aristidis Likas
openaire   +2 more sources

Structural insights and therapeutic targets in Acinetobacter baumannii capsule biosynthesis

open access: yesFEBS Letters, EarlyView.
Hypervirulent KL49 A. baumannii's capsular polysaccharide contains the nonulosonic acid 8‐epi‐Leg5,7Ac2, synthesized by epimerization via ElaA, ElaB, and ElaC. Crystal structures of ElaA, ElaB, and ElaC reveal their role in CMP‐Leg5,7Ac2 synthesis and regioselective C8 epimerization.
Woo Cheol Lee   +7 more
wiley   +1 more source

Algoritma Modified K-Means Clustering pada Penentuan Cluster Centre Berbasis Sum Of Squared Error (Sse)

open access: yes, 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  

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