Results 31 to 40 of about 9,620,800 (176)

PERBANDINGAN K-MEDOIDS DAN CLARA (Clustering Large Application) PADA DATA POPULASI TERNAK DI INDONESIA

Jurnal Lebesgue
This 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, Sean Marshelle, Anwar Fitrianto, Erfiani Erfiani, L. M. Risman Dwi Jumansyah   +4 more
doaj   +1 more source

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, Swingly Purba, Jeremia Siregar, Marvin Frans Sakti Hutabarat, Rasmi Sitohang   +4 more
doaj   +1 more source

Comparison analysis of Euclidean and Gower distance measures on k-medoids cluster

Jurnal Teknologi dan Sistem Komputer, 2021
K-medoids clustering uses distance measurement to find and classify data that have similarities and inequalities. The distance measurement method selection can affect the clustering performance for a dataset.
Agil Aditya, Betha Nurina Sari, Tesa Nur Padilah   +2 more
doaj   +1 more source

A simple and fast algorithm for K-medoids clustering

, 2019
This paper proposes a new algorithm for K-medoids clustering which runs like the K-means algorithm and tests several methods for selecting initial medoids.
Park, HS, Jun, CH, Marroquín Díaz, Angie Mariana, Rincón Garzón, William Daniel, Pai Gómez, Aura Paola, Orozco Delgado, Brallan Steven   +5 more
core   +1 more source

Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis

Advanced Science, EarlyView.
Robotic experimentation and physics‐informed machine learning combine to predict enzyme substrate scope. With a handful of interpretable features derived from docking and quantum mechanics calculations, our model rivals descriptor‐heavy AI approaches and extrapolates to unseen substrates and enzyme classes.
Natalia Onishchenko, Eric S. Larsen, Govind Paneru, Kisung Lee, Diana V. Kolygina, Yankai Jia, Elizabeth Maria Clarissa, Wai‐Shing Wong, Bartosz A. Grzybowski   +8 more
wiley   +1 more source

Algoritma K-Means dan K-Medoids Analisis Algoritma K-Means dan K-Medoids Untuk Clustering Data Kinerja Karyawan Pada Perusahaan Perumahan Nasional

, 2021
Penilaian kinerja dilakukan untuk mengukur kinerja seorang karyawan terhadap pekerjaan yang dilakukan. Perusahaan Perumahan Nasional melakukan penilaian kinerja terhadap karyawan setiap 6 bulan sekali, yang melibatkan semua karyawan, baik karyawan tetap ...
fitriyadi, Akhmad upi, Akhmad upi Fitriyadi   +1 more
core   +1 more source

A Hypothalamic Oxytocinergic–Sympathetic Axis Couples Anxiety Dysregulation With Impaired Tendon–Bone Repair

Advanced Science, EarlyView.
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, Tingmo Huang, Liyue Zeng, Ruixue Du, Hengshuo Zhang, Shen Liu, Tao Zhang, Jianzhong Hu, Hongbin Lu   +8 more
wiley   +1 more source

PENERAPAN METODE K-MEDOIDS PADA PENGELOMPOKAN DAERAH PENGHASIL KELAPA SAWIT DENGAN VALIDASI INDEKS SILHOUETTE [PDF]

, 2019
K-medoids termasuk metode partitioning clustering untuk mengelompokkan sekumpulan  objek menjadi sekumpulan  cluster. Penelitian ini dilakukan untuk mengelompokan kabupaten/kota yang memiliki luas lahan dan rata-rata produksi perkebunan kelapa sawit ...
Debataraja, Naomi Nessyana, Satyahadewi, Neva, Okta, Ewaldus, Ewaldus Okta, Neva Satyahadewi, Naomi Nessyana Debataraja   +3 more
core   +1 more source

Exploring the Potential of Cluster Analysis in Identifying Disease Phenotypes in Calcium Pyrophosphate Deposition: Moving From Intuition to Insight

Arthritis &Rheumatology, EarlyView.
Objective Calcium pyrophosphate deposition (CPPD) disease is a heterogeneous condition and is frequently misdiagnosed due to the different clinical presentations and variable disease progression. Aim of this study is to identify clinical phenotypes of CPPD disease by integrating real‐world data from two data sets. Methods Data from the COLCHICORT trial
Greta Pellegrino, Laurène Norberciak, Silvia Sirotti, Abhishek Abhishek, Mariano Andrès, Edoardo Cipolletta, Julien Damart, Renaud Desbarbieux, Pilar Diez, Vincent Ducoulombier, Hang‐Korng Ea, Emilio Filippucci, Charlotte Jauffret, Augustin Latourte, Jean‐Guillaume Letarouilly, Sébastien Ottaviani, Laura Pezzoni, Pascal Richette, Pierre Robinet, Georgios Filippou, Tristan Pascart   +20 more
wiley   +1 more source

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, Nure lina, Andri Fernando, Aditya Ramadhan   +3 more
doaj   +1 more source