Results 181 to 190 of about 2,006,480 (313)

Federated k-means based on clusters backbone. [PDF]

PLoS One
Deng Z, Wang Y, Alobaedy MM.
europepmc   +1 more source

K-means vs Mini Batch K-means: a comparison

, 2013
Mini Batch K-means (cite{Sculley2010}) has been proposed as an alternative to the K-means algorithm for clustering massive datasets. The advantage of this algorithm is to reduce the computational cost by not using all the dataset each iteration but a subsample of a fixed size.
openaire   +1 more source

Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology

Molecular Oncology, EarlyView.
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts, Senada Koljenović, Elise Daems, Karolien De Wael, Marc Peeters, Léon C. van Kempen, Greetje Vanhoutte, Karen Zwaenepoel, Timon Vandamme   +8 more
wiley   +1 more source

K-means clustering-based analysis of quantitative ultrafast DCE-MRI for predicting breast cancer response to neoadjuvant chemotherapy. [PDF]

J Appl Clin Med Phys
Ren Z, Fan X, Medved M, Howard FM, Nanda R, Abe H, Kulkarni K, Biernacka A, Chen N, Karczmar GS.   +9 more
europepmc   +1 more source

Modified K-means Algorithm for Clustering Analysis of Hainan Green Tangerine Peel

, 2014
Ying Luo, Haiyan Fu
openalex   +2 more sources

Adenosine‐to‐inosine editing of miR‐200b‐3p is associated with the progression of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
A‐to‐I editing of miRNAs, particularly miR‐200b‐3p, contributes to HGSOC progression by enhancing cancer cell proliferation, migration and 3D growth. The edited form is linked to poorer patient survival and the identification of novel molecular targets.
Magdalena Niemira, Anna Skwarska, Karolina Chwialkowska, Agnieszka Ostrowska, Gabriela Sokolowska, Anna Zeller, Anna Erol, Andrzej Eljaszewicz, Bartosz Hanczaruk, Anna Michalska‐Falkowska, Agnieszka Tarasik, Joanna Reszec‐Gielazyn, Pawel Knapp, Marcin Moniuszko, Adam Kretowski   +14 more
wiley   +1 more source

Enhancing classification accuracy in medical datasets using a hybrid distance and cluster refinement-based K-means clustering method. [PDF]

Sci Rep
Al-Khamees HAA, Al-Slivani MM, Kadhim MS, Radhi AD, Sani NS, Al-Amri RM, Wahit F, Afira Sani MA.   +7 more
europepmc   +1 more source

PENGELOMPOKKAN BUKU DAN REKOMENDASI BUKU MENGGUNAKAN K-MEANS CLUSTERING PADA DINAS PERPUSTAKAAN DAN KEARSIPAN KOTA MEDAN

Jihan Fadlina, Rida Utami, Nandri Marsan Sitinjak   +2 more
openalex   +2 more sources

Implementation Of Data Mining For Determining Majors Using K-Means Algorithm In Students Of SMA Negeri 1 Pangkalan Kerinci

, 2019
Yuda Irawan
openalex   +2 more sources

PENERAPAN METODE K-MEANS UNTUK ANALISIS STUNTING GIZI PADA BALITA: SYSTEMATIC REVIEW

, 2022
Abdi Subayu
openalex   +2 more sources