Results 91 to 100 of about 940,524 (345)

Clustering Penyakit DBD pada Rumah Sakit Dharma Kerti Menggunakan Algoritma K-Means

INSERT, 2022
Clustering merupakan teknik pengelompokkan record pada basis  data  berdasarkan  kriteria  tertentu.  Hasil clustering diberikan  kepada  pengguna  akhir  untuk  memberikan gambaran tentang apa yang terjadi pada basis data. Dalam SIMRS Rumah Sakit Dharma
I Nyoman Mahayasa Adiputra
doaj   +1 more source

A notion of stability for k-means clustering

Electronic Journal of Statistics, 2018
In this paper, we define and study a new notion of stability for the $k$-means clustering scheme building upon the notion of quantization of a probability measure. We connect this notion of stability to a geometric feature of the underlying distribution of the data, named absolute margin condition, inspired by recent works on the subject.
Le Gouic, T., Paris, Q.
openaire   +5 more sources

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

FEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

Diversity and complexity in neural organoids

FEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

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, Basak Bahcivanci, Antonietta Hayhoe, Animesh Acharjee, Ezgi Özkurt   +4 more
wiley   +1 more source

Prioritizing the risk of plant pests by clustering methods : self-organising maps, k-means and hierarchical clustering

, 2013
For greater preparedness, pest risk assessors are required to prioritise long lists of pest species with potential to establish and cause significant impact in an endangered area. Such prioritization is often qualitative, subjective, and sometimes biased,
Paini,Dean, Worner, Susan, Eschen, René, Worner,Susan, Gevrey, Muriel, Singh, Sunil, Dean Paini, Kenis, Marc, Worner, Susan P., Singh,Sunil, Marc Kenis, Watts,Michael, Suiter, Karl, Eschen, Ren\ue9, Watts, Michael J., Muriel Gevrey, Eschen,René, Paini, Dean, Sunil Singh, Watts, Michael, Kenis,Marc, René Eschen, Gevrey,Muriel, Michael Watts, Susan Worner, Karl Suiter, Suiter,Karl   +26 more
core   +1 more source

Comparative Study of K-Means Clustering Algorithm and K-Medoids Clustering in Student Data Clustering

JISKA (Jurnal Informatika Sunan Kalijaga), 2022
Universities as educational institutions have very large amounts of academic data which may not be used properly. The data needs to be analyzed to produce information that can map the distribution of students.
Qomariyah, Maria Ulfah Siregar
doaj  

Rab14 regulates the transport of human papillomavirus to the trans‐Golgi network for infectious cell entry

FEBS Letters, EarlyView.
This study reveals that the small GTPase Rab14 is necessary for human papillomavirus (HPV) infection and plays an essential role in the transport of virions to the trans‐Golgi network (TGN). HPV in the early endosome (EE), which harbors GTP‐bound Rab14, is transported to the TGN through the switch of Rab14 from its GTP‐bound to GDP‐bound form.
Yoshiyuki Ishii, Iwao Kukimoto
wiley   +1 more source

Clustering Using Boosted Constrained k-Means Algorithm

Frontiers in Robotics and AI, 2018
This article proposes a constrained clustering algorithm with competitive performance and less computation time to the state-of-the-art methods, which consists of a constrained k-means algorithm enhanced by the boosting principle.
Masayuki Okabe, Seiji Yamada
doaj   +1 more source

K-Means Clustering Optimization Using the Elbow Method and Early Centroid Determination Based on Mean and Median Formula

Proceedings of the 2nd International Seminar on Science and Technology (ISSTEC 2019), 2020
: The most widely used algorithm in the cluster partitioning method is the K-Means algorithm. Historically K-Means is still the best grouping algorithm among other grouping algorithms with the ability to group a number of data with relatively fast and ...
Edy Umargono, J. E. Suseno, S.K Vincensius Gunawan   +2 more
semanticscholar   +1 more source