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692.758 Articles

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Seemingly ‘impossible’ art forms: Strijdom van der Merwe’s land art in the context of the South African art market

Jean le Clus-Theron

AbstractThis article explored the work of Strijdom van der Merwe, the concept of land art and the notion of the artist’s book in the context of the historical and contemporary art market. The premise of the article is the view that if something can be cal... see more

KeywordsNo related keywords in the metadata.

Literator , 2012

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Glacier Clusters identification across Chilean Andes using Topo-Climatic variables Identificación de clústeres glaciares a lo largo de los Andes chilenos usando variables topoclimáticas

Alexis Caro, Fernando Gimeno, Antoine Rabatel, Thomas Condom, Jean Carlos Ruiz

Using topographic and climatic variables, we present glacier clusters in the Chilean Andes (17.6-55.4°S), where the Partitioning Around Medoids (PAM) unsupervised machine learning algorithm was utilized. The results classified 23,974 glaciers inside thirt... see more

Chilean Andes | climatology | glacier clusters | topography.

Investigaciones Geográficas , 2020

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Hierarchical and Reweighting Cluster Kernels for Semi-Supervised Learning

Zalán Bodó,Lehel Csató

Recently semi-supervised methods gained increasing attention and many novel semi-supervised learning algorithms have been proposed. These methods exploit the information contained in the usually large unlabeled data set in order to improve classification ... see more

Kernel methods | semi-supervised learning | clustering

International Journal of Computers Communications & Control , 2010

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Comparison Of Clustering Levels Of The Learning Burnout Of Students Using The Fuzzy C-Means And K-Means Methods

Winarno W

Learning burnout is an impact from work done in a manner Keep going continuously, causing fatigue physical and emotional. If boredom study no handled, got cause students no productive and inhibits potency student . So from that study this proposed method ... see more

Clustering | Burnout Learning | K-Means | Fuzzy C-Mean

Jurnal Informasi Teknologi dan Pendidikan , 1979

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Implementation of Single Linked on Machine Learning for Clustering Student Scientific Fields

Saiful Nur Arif, Muhammad Dahria, Sarjon Defit, Dicky Novriansyah, Ali Ikhwan

Machine Learning in classifying scientific fields according to the competence of students. Currently STMIK Triguna Dharma is quite difficult to map the scientific fields that will be used by students in submitting titles, so that the results of the thesis... see more

Clustering | Euclidean | Machine Learning | Single Linkage | Scientific Fields

MATRIK : Jurnal Manajemen; Teknik Informatika dan Rekayasa Komputer , 2022

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Clustering Of Student Learning Styles in the industri 4.0 Using KMeans Algorithm

Medika Risnasari, Nabila Aulia, Laili Cahyani

Clustering is a technique for grouping homogeneous data so that the points in each cluster are as similar as possible according to convenience measures such as Euclidean-based distance or correlation-based distance. In the industrial era 4.0, learning med... see more

clustering | learning style | KMeans | silhoutte coeficient

JTP - Jurnal Teknologi Pendidikan , 2022

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Cluster analysis and ensemble transfer learning for COVID-19 classification from computed tomography scans

(1) Lyubomir Gotsev (State University of Library Studies and Information Technologies, Sofia, Bulgaria, Bulgaria) (2) Ivan Mitkov (State University of Library Studies and Information Technologies, Sofia, Bulgaria, Bulgaria) (3) Eugenia Kovatcheva (State University of Library Studies and Information Technologies, Sofia, Bulgaria, Bulgaria) (4) Boyan Jekov (State University of Library Studies and Information Technologies, Sofia, Bulgaria, Bulgaria) (5) Roumen Nikolov (State University of Library Studies and Information Technologies, Sofia, Bulgaria, Bulgaria) (6) Elena Shoikova (State University of Library Studies and Information Technologies, Sofia, Bulgaria, Bulgaria) (7) Milena Petkova (State University of Library Studies and Information Technologies, Sofia, Bulgaria, Bulgaria)

The paper aims to demonstrate the convergence and synergistic application of deep learning methods and techniques to improve approaches and solutions in COVID-19 computed tomography scans classification by addressing the data and protocol challenges found... see more

COVID-19 | Computed Tomography | Clustering | Transfer Learning | Ensemble Learning

International Journal of Advances in Intelligent Informatics , 2022

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Cluster analysis and ensemble transfer learning for COVID-19 classification from computed tomography scans

COVID-19 | Computed Tomography | Clustering | Transfer Learning | Ensemble Learning

IJAIN (International Journal of Advances in Intelligent Informatics) , 2022

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UTILIZING CLUSTERING TECHNIQUE TO ENHANCE STUDENTS’ ENGLISH WRITING PERFORMANCE

Erina Ayu Lestari, Budiarti Budiarti, Juhansar Juhansar

This present study aims at exploring the utilization of the clustering technique to enrich students’ performance in writing a descriptive text in English, discovering students’ participation in learning-teaching descriptive text writing using the clusteri... see more

clustering technique | learning-teaching | English writing | students’ performance.

English Review: Journal of English Education , 2022

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