Results 41 to 50 of about 4,729 (197)

Document Clustering using K-Medoids

CoRR, 2015
People are always in search of matters for which they are prone to use internet, but again it has huge assemblage of data due to which it becomes difficult for the reader to get the most accurate data. To make it easier for people to gather accurate data, similar information has to be clustered at one place.
openaire   +2 more sources

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

A Serum lncRNA Signature Determines Oncogenic YAP Activity in Cancer Patients

International Journal of Cancer, EarlyView.
Long non‐coding RNAs (lncRNAs) signatures are promising cancer biomarkers, since their dysregulation in tumors is reflected in body fluids. In this study, next‐generation sequencing, bioinformatics, and gene expression data were combined to investigate an lncRNA signature linked specifically to the cancer‐promoting YAP in several cancer types ...
Fabian Rose, Nada El‐Ekiaby, Lilija Wehling, Sofia Maria Elisabeth Weiler, Jennifer Schmitt, Marcell Tóth, Fabiola Pedrini, Amruta Damle‐Vartak, Carsten Sticht, Rossella Pellegrino, Injie Omar Fawzy, Merna Hatem Mohamed Hamad, Mohamed Negm, Dina Omar, Hossam Eldeen Soliman, Gamal Esmat, Thomas Longerich, Thomas Illig, Bruno Christian Köhler, Anna Saborowski, Heike Bantel, Arndt Vogel, Peter Schirmacher, Ahmed Ihab Abdelaziz, Kai Breuhahn   +24 more
wiley   +1 more source

Fast $K$-Medoids With the $l_{1}$-Norm

IEEE Transactions on Artificial Intelligence
K-medoids clustering is one of the most popular techniques in exploratory data analysis. The most commonly used algorithms to deal with this problem are quadratic on the number of instances, n, and usually the quality of the obtained solutions strongly depends upon their initialization phase.
Marco Capó, Aritz Pérez, Jose A. Lozano   +2 more
openaire   +2 more sources

Integrating and assessing metacommunity drivers of ecosystem function and resilience in benthic algal systems

Oikos, EarlyView.
Understanding the scales and mechanisms by which species composition interacts with ecosystem functions is critical for forecasting the effects of environmental perturbations on ecosystem services. However, the linkages between what regulates the ecosystem functions of dispersal‐capable networks of communities (metacommunities) and what regulates a ...
Thomas P. Shannon, Evelyn E. Gaiser
wiley   +1 more source

Comparison of K-Means and K-Medoids Algorithms for Clustering Poverty Data in South Sumatra Using DBI Evaluation

Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
This research focuses on the implementation and comparison of the K-Means and K-Medoids algorithms that function as poverty data clustering in South Sumatra Province, the poverty data is taken from the Central Statistics Agency of Indonesia (BPS ...
M. Dandi Akhda, Ken Ditha Tania
doaj   +1 more source

CLUSTERING OF STATE UNIVERSITIES IN INDONESIA BASED ON PRODUCTIVITY OF SCIENTIFIC PUBLICATIONS USING K-MEANS AND K-MEDOIDS

Barekeng, 2023
Scientific publication is a measure of the performance of a university. Universities that are owned and operated by the government and whose establishment is carried out by the President of Republic Indonesia are state universities (PTN).
Ermawati Ermawati, Idhia Sriliana, Riry Sriningsih   +2 more
doaj   +1 more source

Tell me where you flow and I will tell you who you are: basin context shapes the insect fauna of small tributaries

Oikos, EarlyView.
The traditional view of river basins as linear corridors has led to numerous studies examining the effects of stream size on aquatic communities. However, similar‐sized streams may harbor distinct faunal assemblages depending on their spatial context within the basin. Headwater tributaries (HTs) that flow into small streams, in the periphery of basins,
Silvia Vendruscolo Milesi, Adriano Sanches Melo   +1 more
wiley   +1 more source

Comparison of K-Medoids and K-Means Algorithms in Segmenting Customers based on RFM Criteria [PDF]

E3S Web of Conferences
The company’s approach to customers is important to maintain the company’s profits. Understanding the differences of each customer is very important so that we can understand customer needs based on customer data.
Fitrianti Fahrudin Nur, Rindiyani Rini
doaj   +1 more source

Accelerating the prioritisation of plant species with underexplored medicinal potential: The pm4mp (Phylogenetic Methods for Medicinal Plants) R package

PLANTS, PEOPLE, PLANET, EarlyView.
Medicinal plants used in ethnobotanical traditions to treat or prevent diseases have gained renewed interest for their largely untapped potential in drug discovery. In this study, we developed and tested novel methods to prioritise plant species based on their unexplored medicinal potential. By enabling researchers to target the most promising species,
Giovanni Zecca, Elisa Toini, Massimo Labra, Fabrizio Grassi   +3 more
wiley   +1 more source