Comparison of K-Means and K-Medoids Algorithms for Grouping Video Game Sales Data in North America: Perbandingan Algoritma K-Means dan K-Medoids untuk Pengelompokan Data Penjualan Video Game di Amerika Utara [PDF]
Analisis cluster merupakan proses spesifik pengelompokan kumpulan objek ke dalam kelas yang serupa. Kluster adalah sekumpulan objek yang mirip satu sama lain di dalam kluster yang sama dan berbeda dari objek di kluster lain.
Didho Rianda, Rahmad +3 more
core +1 more source
Block-Based K-Medoids Partitioning Method with Standardized Data to Improve Clustering Accuracy
Most of the existing k-medoid algorithms select the initial medoid randomly or use a specific formula based on the proximity matrix. This study proposes a block-based k- medoids partitioning method for clustering objects.
Abdurakhman, Abdurakhman +9 more
core +1 more source
Hybrid Personalized Recommender System Using Fast K-medoids Clustering Algorithm
Recommender systems attempt to predict items in which a user might be interested, given some information about the user’s and items’ profiles.
Subhash K. Shinde, Uday V. Kulkarni
doaj +1 more source
Volume-profit relationship of LRFMV model for K-Medoids algorithm.
Volume-profit relationship of LRFMV model for K-Medoids algorithm.
Rezwana Mahfuza (14285061) +5 more
core +1 more source
Non-Exhaustive, Overlapping k-medoids for Document Clustering [PDF]
Manual document categorization is time consuming, expensive, and difficult to manage for large collections. Unsupervised clustering algorithms perform well when documents belong to only one group.
Eric Kerstens, Kerstens, Eric
core +1 more source
The modern discrimination of sediment is based on acoustic intensity (backscatter) information from high-resolution multibeam echo-sounder systems (MBES).
Xiaochen Yu +4 more
doaj +1 more source
Optimizing MSMEs clusters using type-2 Fuzzy K-Medoids method in Sampang Madura District [PDF]
MSMEs 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
doaj +1 more source
STUDI KOMPARASI ALGORITMA K-MEANS CLUSTERING DAN K-MEDOIDS CLUSTERING DALAM PENGKLASTERAN DATA MAHASISWA [PDF]
Universities as educational institutions have very large amounts of academic data and student administrative data, which may not be used properly. Student academic data that has accumulated from year to year needs to be analyzed to produce information
QOMARIYAH, NIM. 17106050005
core +1 more source
Analisis Pengelompokan Wilayah Penyebaran Covid-19 di Indonesia Dengan Metode Clustering Menggunakan Algoritma K-Means dan K-Medoids [PDF]
Corona virus merupakan sebuah penyakit yang menyerang infeksi saluran pernafasan manusia yang umumnya ringan, seperti flu dan batuk. Jika tidak ada penanganan yang cepat akan mengakibatkan kematian.
Halim, Chandra
core +4 more sources
A QUBO Formulation of the k-Medoids Problem
5463We are concerned with k-medoids clustering and propose aquadratic unconstrained binary optimization (QUBO) formulation of the problem of identifying k medoids among n data points without having to cluster the data.
Hecker, Dirk +4 more
core +1 more source

