Results 21 to 30 of about 9,019,139 (162)
K-Medoids Clustering of Data Sequences With Composite Distributions [PDF]
IEEE Transactions on Signal Processing, 2019 This paper studies clustering of data sequences using the k-medoids algorithm. All the data sequences are assumed to be generated from \emph{unknown} continuous distributions, which form clusters with each cluster containing a composite set of closely located distributions (based on a certain distance metric between distributions).
Tiexing Wang +5 more
openaire +3 more sources
Analisis Permasalahan Perangkat Pencetak Menggunakan Metode Algoritma K-Means dan K-Medoids
Teknika, 2022 Amido Makmor Tulus Sejati merupakan perusahaan distributor multifunction printer merek Kyocera di Indonesia. Evaluasi kinerja teknisi diperlukan untuk mempertahankan kepuasan customer terhadap penggunaan multifunction printer Kyocera.
Fadli Aziz Setiawan +2 more
doaj +1 more source
Hybrid Personalized Recommender System Using Fast K-medoids Clustering Algorithm
Journal of Advances in Information Technology, 2011 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
Angewandte Chemie, EarlyView.NMR screening is a powerful method for hit detection in drug‐discovery. We designed and validated the OpenFL600 19F$^{19}{\rm F}$ NMR library to probe diverse targets, including RNA, GPCRs, kinases, and proteases. This library yields target‐specific ligands without generating promiscuous binders.
Simon H. Rüdisser +16 more
wiley +2 more sources
Journal of Marine Science and Engineering, 2021 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]
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
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 +2 more
doaj +1 more source
Performance analysis in text clustering using k-means and k-medoids algorithms for Malay crime documents [PDF]
, 2022 Few studies on text clustering for the Malay language have been conducted due to some limitations that need to be addressed. The purpose of this article is to compare the two clustering algorithms of k-means and k-medoids using Euclidean distance ...
Rosmayati Mohemad +7 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
doaj +1 more source
Non-Exhaustive, Overlapping k-medoids for Document Clustering [PDF]
, 2020 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
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