Results 21 to 30 of about 4,729 (197)
Optimizing MSMEs clusters using type-2 Fuzzy K-Medoids method in Sampang Madura District [PDF]
EPJ Web of ConferencesMSMEs in Madura, Indonesia, play a crucial role in driving local economic growth, yet face significant challenges such as limited capital, disparity in market information, and low technology adoption.
Kustiyahningsih Yeni +4 more
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Techno.ComCustomer segmentation is an important strategy in a company, it affects good customer relationships which will result in increased profits. Grouping customers in data mining can use several algorithms, but K-Medoids is the right choice because it can ...
Danang Bagus Wijaya +2 more
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Jurnal LebesgueThis study compares the K-Medoids and CLARA (Clustering Large Application) methods for livestock population data in Indonesian districts and cities. Calculating the distance between points and objects in the data, K-Medoids is a method for clustering ...
Rizky Ardhani +4 more
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Quantum-Enhanced K-Medoids Clustering: Comparative Analysis of Stroke Medical Data
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)Stroke is a severe medical condition that occurs when the blood supply to parts of the brain is interrupted or reduced, resulting in brain tissue that lacks oxygen and nutrients. This causes brain cells to start to die in minutes.
Ricardo Siahaan +4 more
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KomputikaPeningkatan efektivitas strategi promosi menjadi tantangan bagi institusi pendidikan dalam menarik calon mahasiswa baru. Penelitian ini membandingkan performa algoritma K-Means dan K-Medoids dalam segmentasi calon mahasiswa berdasarkan data Penerimaan ...
Teguh Syafrudin +3 more
doaj +1 more source
K-Medoids Clustering untuk Pembentukan Database Stopword Bahasa Jawa
Ranah: Jurnal Kajian Bahasa, 2021 Stopword is a word that can be ignored in the natural language process. This word removal process does not affect the text analysis process. The technique used to remove stopword is called Stopword Removal. This technique matches words to a stopword list.
Aji Prasetya Wibawa +2 more
doaj +1 more source
AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling
Advanced Science, EarlyView.This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi +4 more
wiley +1 more source
IMPLEMENTATION OF K-MEDOIDS AND K-PROTOTYPES CLUSTERING FOR EARLY DETECTION OF HYPERTENSION DISEASE
BarekengHypertension is a serious concern because of its significant impact on public health, especially in the context of lifestyle changes and specific health conditions. One method for grouping patients based on complex clinical data is the Clustering method.
Hardianti Hafid, Selvi Annisa
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Implementasi Algoritma K-Medoids dan K-Means untuk Pengelompokkan Wilayah Sebaran Cacat pada Anak
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi, 2018 Usia dibawah 18 tahun merupakan usia yang baik dalam pertumbuhan dan perkembangan fisik dan mental pada seseorang. Pertumbuhan dan perkembangan yang baik akan menjadi modal bagi kelangsungan anak sebagai generasi penerus yang baik.
Dini Marlina +3 more
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Machine‐Learning Framework for Designing Stable Interfaces in All‐Solid‐State Lithium‐Ion Batteries
Advanced Science, EarlyView.A data‐driven strategy is developed to discover coating materials for all‐solid‐state lithium batteries. Using calculations of interfacial reactivity, unsupervised pattern recognition, and machine‐learning prediction, the study identifies low‐reactivity compositional patterns and screens new lithium‐based oxide and polyanion candidates, extending ...
Sehyeok Park +4 more
wiley +1 more source