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Articles 31 - 32 of 32
Full-Text Articles in Data Science
Pembagian Tingkat Kecanduan Game Online Menggunakan K-Means Clustering Serta Korelasinya Terhadap Prestasi Akademik, Yudi Prastyo
Pembagian Tingkat Kecanduan Game Online Menggunakan K-Means Clustering Serta Korelasinya Terhadap Prestasi Akademik, Yudi Prastyo
Elinvo (Electronics, Informatics, and Vocational Education)
Game online tidak hanya memberikan hiburan tetapi juga memberikan tantangan yang menarik untuk diselesaikan sehingga individu bermain game online tanpa memperhitungkan waktu demi mencapai kepuasan. Salah satu metode yang dapat digunakan untuk mengelompokkan tingkat kecanduan game online adalah metode K-Means Clustering. K-Means Clustering merupakan salah satu metode data clustering non hirarki yang berusaha mempartisi data yang ada ke dalam bentuk satu atau lebih cluster/kelompok.Penelitian ini mengambil data sample kuesioner dari mahasiswa di Universitas Ibn Khaldun Bogor dimana isian kuesioner akan diolah sebagai acuan pengelompokkan tingkat kecanduan game online.Hasil clusteringdigunakan untuk mengetahui hubungannya antara tingkat kecanduan game …
Constructing Interactive Visual Classification, Clustering And Dimension Reduction Models For N-D Data, Boris Kovalerchuk, Dmytro Dovhalets
Constructing Interactive Visual Classification, Clustering And Dimension Reduction Models For N-D Data, Boris Kovalerchuk, Dmytro Dovhalets
Computer Science Faculty Scholarship
The exploration of multidimensional datasets of all possible sizes and dimensions is a long-standing challenge in knowledge discovery, machine learning, and visualization. While multiple efficient visualization methods for n-D data analysis exist, the loss of information, occlusion, and clutter continue to be a challenge. This paper proposes and explores a new interactive method for visual discovery of n-D relations for supervised learning. The method includes automatic, interactive, and combined algorithms for discovering linear relations, dimension reduction, and generalization for non-linear relations. This method is a special category of reversible General Line Coordinates (GLC). It produces graphs in 2-D that represent …