Introduction
Partitioning clustering is one of the most widely used clustering techniques in machine learning and data mining. It involves dividing a
An Overview of Clustering Algorithms
Introduction
Clustering is an unsupervised machine learning technique used to group similar data points together. It plays a vital role in pattern re
UMA Launching Renstra Penelitian, PKM dan Publikasi Internasional Tahun 2024-2028
Kamis, 19 September 2024, UMA melalui BPJIID dan P3MPI menyelenggarakan Kegiatan Launching dan Sosialisasi Rencana Strategis (Renstra) Penelitian, Pen
Grid-Based Clustering: Clustering in Large Datasets
Introduction
Grid-based clustering is a unique and efficient clustering method that divides the data space into a grid-like structure and then cluste
Anchor Detection: A Key Component in Object Detection
Introduction
In the field of computer vision, object detection is a crucial task that involves identifying and localizing objects within an image. To
K-Means Clustering: Concepts, Algorithm, and Applications
Introduction
Clustering is one of the most fundamental tasks in unsupervised learning, used to group similar data points into clusters based on their
Semi-Supervised Learning: Bridging the Gap
Introduction
Machine learning has become a cornerstone of modern data-driven decision-making processes, revolutionizing fields ranging from healthcar
Penelitian Eksplanatori: Mengungkap Hubungan Sebab-Akibat
Penelitian eksplanatori adalah salah satu metode penelitian yang bertujuan untuk menjelaskan hubungan sebab-akibat antara variabel-variabel yang ditel
Mean Absolute Percentage Error (MAPE): A Overview
Introduction
Mean Absolute Percentage Error (MAPE) is a widely used statistical measure to assess the accuracy of forecasting models. It is particula
Penelitian Eksploratif: Fenomena untuk Pemahaman Mendalam
Penelitian eksloratif adalah salah satu metode penelitian yang bertujuan untuk mengeksplorasi suatu fenomena yang belum banyak dipelajari atau belum j
