Results 71 to 80 of about 1,172,362 (258)
Micro, Small, and Medium Enterprises (MSMEs) are an important sector in the economy, playing a significant role in creating jobs and driving local economic growth.
Muhammad Iqbal Firmansyah +4 more
doaj +1 more source
Customer Loyalty Clustering Model Using K-Means Algorithm with LRIFMQ Parameters
Loyal customers are one of the factors that determine the development of a business. Therefore, businesses need a strategy to keep customers loyal, even making customers who were previously less loyal to become more loyal. The strategy used must be right
Aloysius Matz Teguh Utomo
doaj +1 more source
Silhouette coefficient distribution for different k values in the DARPA2000 dataset.
Silhouette coefficient distribution for different k values in the DARPA2000 dataset.
Pengpeng Jian (12356824) +3 more
core +1 more source
RCI is associated with functional suppression of oxytocinergic neurons in the PVN. Reduced PVNOXT neuronal activity contributes to altered sympathetic regulation involving the IML–sympathetic chain pathway, accompanied by changes in norepinephrine signaling at the BTI.
Liyang Wan +8 more
wiley +1 more source
IMPLEMENTATION OF K-MEANS ALGORITHM ELBOW METHOD AND SILHOUETTE COEFFICIENT FOR RAINFALL CLASSIFICATION [PDF]
Rain is one of the hydrological cycles which is a cycle of water rotation from the earth to the atmosphere and back to the earth continuously. High Rainfall may cause some areas that are in lowlands or those with low water infiltration systems will be ...
Setiady, Daniel Adrian, Leong, Hironimus
core +1 more source
XChrom is a deep learning framework that integrates genomic sequence and single‐cell context to predict chromatin accessibility. It generalizes to unseen cells and genomic regions, enabling cross‐sample and cross‐species analysis. Applied to COVID‐19 patient data, XChrom reveals key transcriptional regulatory mechanisms and disease‐associated ...
Yuanyuan Miao +5 more
wiley +1 more source
DPC-DIST: an improved density peak clustering algorithm based on geometric distribution
Density Peak Clustering (DPC) is a widely used clustering method that automatically identifies cluster centers based on local density and distance metrics.
Zhang Jiayong
doaj +1 more source
In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar +9 more
wiley +1 more source
Analisis Silhouette pada Perhitungan Pengukuran Jarak Antara Data Objek Menggunakan Metode Average Linkage Clustering [PDF]
"ABSTRAK ANALISIS SILHOUETTE PADA PERHITUNGAN PENGUKURAN JARAK ANTARA DATA OBJEK MENGGUNAKAN METODE AVERAGE LINKAGE CLUSTERING Oleh Syuroya 24010118120044 Average Linkage merupakan salah satu metode clustering data yang mengelompokkan ...
Syuroya, Syuroya
core +1 more source
Bridges, as vital infrastructure, require ongoing monitoring to maintain safety and functionality. This study introduces an innovative algorithm that refines bridge component performance assessment through the integration of modified K-means clustering ...
Chengzhong Gui +6 more
doaj +1 more source

