Image segmentation is an important process in identifying tomato diseases. The technique
that is often used in this segmentation is k-means clustering. One of the main problems in …

To improve the receiver sensitivity of the digitized radio-over-fiber (DRoF) transmission
system, a vector quantization scheme based on probabilistic quantization codeword shaping …

The automatic clustering differential evolution (ACDE) is one of the clustering methods that
are able to determine the cluster number automatically. However, ACDE still makes use of …

Pengelompokan K-Means bertujuan untuk mengumpulkan satu set titik pusat cluster yang
optimal melalui iterasi yang berurutan. Fakta bahwa semakin optimal posisi dari titik pusat …

This article aims to examine whether meta-learning can improve emotion recognition—an
emerging technology integrating psychology, computer vision, machine learning and other …

This research develops a comprehensive analytical framework utilizing data analysis,
machine learning, and clustering technologies to address the correlation analysis of alarm …

Water companies use a significant quantity of electricity for the operation of their clean and
wastewater assets. Rising energy prices have led to higher energy bills within the water …

Image segmentation is an important process in identifying tomato diseases. The technique
that is often used in this segmentation is k-means clustering. One of the main problems in …

Researches are working on to reduce the power consumed by the sensors in Wireless
Sensor Networks (WSNs). WSN consists of sensors extended over a large geographical …

Proses klasterisasi data di DBMS akan lebih efisien jika dilakukan langsung di dalam DBMS
itu sendiri karena DBMS mendukung untuk pengelolaan data yang baik. SQL-Kmeans …