Results 111 to 120 of about 15,852,135 (305)
K-means clusters over PCA components for LRFMV model.
K-means clusters over PCA components for LRFMV model.
Rezwana Mahfuza (14285061) +5 more
core +1 more source
Color image segmentation using a spatial k-means clustering algorithm [PDF]
This paper details the implementation of a new adaptive technique for color-texture segmentation that is a generalization of the standard K-Means algorithm. The standard K-Means algorithm produces accurate segmentation results only when applied to images
Ilea, Dana E., Whelan, Paul F.
core +2 more sources
ABSTRACT Background Heavy menstrual bleeding (HMB) is a common condition among adolescents and young adults (AYAs) and is the leading cause of iron deficiency anemia (IDA) in this population. Growing evidence suggests that social determinants of health (SDOH) influence menstrual bleeding patterns, access to care, and treatment. However, no studies have
Maria Carter‐Febres +6 more
wiley +1 more source
ABSTRACT Background Patients with chronic kidney disease undergoing hemodialysis commonly experience reduced physical function, fatigue, poor sleep quality, and impaired health‐related quality of life. Intradialytic exercise has been proposed as a non‐pharmacological strategy to improve these outcomes.
Klebson da Silva Almeida +6 more
wiley +1 more source
ABSTRACT Introduction Peritoneal dialysis (PD) is an established home‐based kidney replacement therapy (KRT), but its uptake remains low in Japan. We evaluated whether individualized education in a dedicated outpatient clinic was associated with the initiation of PD.
Yasuko Ito +7 more
wiley +1 more source
Pengenalan Pola Citra Penyakit Pada Daun Tanaman Padi Menggunakan GCLM dan Algoritma K-Means
Penelitian ini bertujuan untuk mengidentifikasi penyakit pada daun tanamanpadi dan membantu penyuluh mengenali penyakit yang ada pada daun tanaman padidengan pola citra menggunakan metode GLCM untuk fitur ekstraksi dan AlgoritmaK-Means untuk ...
Lilis Indriani, Zahir Zainuddin, Ingrid
core
Federated learning is a technique that enables the use of distributed datasets for machine learning purposes without requiring data to be pooled, thereby better preserving privacy and ownership of the data. While supervised FL research has grown substantially over the last years, unsupervised FL methods remain scarce.
Swier Garst, Marcel J. T. Reinders
openaire +3 more sources
ABSTRACT Introduction Hyperlipidemia is a major risk factor for atherosclerotic cardiovascular disease (ASCVD). Although statins are the cornerstone of lipid‐lowering therapy, their use may be limited in some patients by adverse effects. This study evaluated the possible impact of non‐drug treatment using double‐filtration plasmapheresis (DFPP) on CD14+
Yun Cheng +3 more
wiley +1 more source
Optimisation of Criminal Data Clustering Model using Information Gain
Crime is a phenomenon that significantly impacts society, necessitating mapping efforts that can be utilized for further analysis. Clustering, as a data analysis technique, groups objects based on similarities or differences in their characteristics ...
Prih Diantono Abda’u +3 more
doaj
Implementasi KD-Tree K-Means Clustering untuk Klasterisasi Dokumen
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

