PROVINCIAL CLUSTERING BASED ON EDUCATION INDICATORS: K-MEDOIDS APPLICATION AND K-MEDOIDS OUTLIER HANDLING [PDF]
BarekengK-Medoids is a clustering algorithm that is often used because of its robustness against outliers. In this research, the focus is to cluster provinces based on educational level through several assessment indicators.
Octavia Rahmawati, Achmad Fauzan
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Analisis Permasalahan Perangkat Pencetak Menggunakan Metode Algoritma K-Means dan K-Medoids [PDF]
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
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JISKA (Jurnal Informatika Sunan Kalijaga), 2022 Universities as educational institutions have very large amounts of academic data which may not be used properly. The data needs to be analyzed to produce information that can map the distribution of students.
Qomariyah, Maria Ulfah Siregar
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Optimasi Centroid Awal Algoritma K-Medoids Menggunakan Particle Swarm Optimization Untuk Segmentasi Customer [PDF]
Techno.ComCustomer segmentation is an important strategy in a company, it affects good customer relationships which will result in increased profits. Grouping customers in data mining can use several algorithms, but K-Medoids is the right choice because it can ...
Danang Bagus Wijaya +2 more
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IMPLEMENTATION OF K-MEDOIDS AND K-PROTOTYPES CLUSTERING FOR EARLY DETECTION OF HYPERTENSION DISEASE [PDF]
BarekengHypertension is a serious concern because of its significant impact on public health, especially in the context of lifestyle changes and specific health conditions. One method for grouping patients based on complex clinical data is the Clustering method.
Hardianti Hafid, Selvi Annisa
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Analisis Komparasi Algoritma K-Means Dan K-Medoids Dalam Segmentasi Data Untuk Strategi Promosi Mahasiswa Baru Di Universitas X [PDF]
KomputikaPeningkatan efektivitas strategi promosi menjadi tantangan bagi institusi pendidikan dalam menarik calon mahasiswa baru. Penelitian ini membandingkan performa algoritma K-Means dan K-Medoids dalam segmentasi calon mahasiswa berdasarkan data Penerimaan ...
Teguh Syafrudin +3 more
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Anchored k-medoids : a novel adaptation of k-medoids further refined to measure long-term instability in the exposure to crime [PDF]
, 2021 Longitudinal clustering techniques are widely deployed in computational social science to delineate groupings of subjects characterized by meaningful developmental trends.
Bannister, Jon +2 more
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Fast K-Medoids With the l_1-Norm [PDF]
, 2023 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 ...
Lozano, J.A., Capó, M., Pérez, A.
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PENERAPAN ALGORITMA K-MEDOIDS UNTUK PENGELOMPOKKAN PENYAKIT PASIEN DI PUSKESMAS UJUNGBATU [PDF]
, 2022 ABSTRAK Penyakit adalah keadaan abnormal tubuh atau pikiran mengalami disfungsi terhadap orang yang dipengaruhinya. Menurut unicef faktor-faktor yang mempengaruhi kesehatan adalah lingkungan, keturunan, perilaku, dan pelayanan kesehatan.
EZU NUGRAHI PRATAMA, -
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Barekeng, 2023 Cluster analysis is a technique for grouping objects in a database based on their similar characteristics. The grouping results are said to be good if each cluster is homogeneous, and can be validated using the silhouette coefficient test.
Taufiq Akbar +2 more
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