Results 1 to 10 of about 938,196 (259)
K-Means Cloning: Adaptive Spherical K-Means Clustering [PDF]
Algorithms, 2018 We propose a novel method for adaptive K-means clustering. The proposed method overcomes the problems of the traditional K-means algorithm. Specifically, the proposed method does not require prior knowledge of the number of clusters.
Abdel-Rahman Hedar +3 more
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Kernel Probabilistic K-Means Clustering [PDF]
Sensors, 2021 Kernel fuzzy c-means (KFCM) is a significantly improved version of fuzzy c-means (FCM) for processing linearly inseparable datasets. However, for fuzzification parameter m=1, the problem of KFCM (kernel fuzzy c-means) cannot be solved by Lagrangian ...
Bowen Liu +4 more
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Metode Boost-K-means untuk Clustering Puskesmas berdasarkan Persentase Bayi yang Diimunisasi
JRST: Jurnal Riset Sains dan Teknologi, 2020 Dinas Kesehatan Kabupaten/Kota adalah satuan kerja pemerintahan daerah kabupaten/kota yang bertanggung jawab menyelenggarakan urusan pemerintahan dalam bidang kesehatan di kabupaten/kota.
Ahmad Irfan Abdullah +2 more
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Unsupervised K-Means Clustering Algorithm
IEEE Access, 2020 The k-means algorithm is generally the most known and used clustering method. There are various extensions of k-means to be proposed in the literature. Although it is an unsupervised learning to clustering in pattern recognition and machine learning, the
Kristina P. Sinaga, Miin-Shen Yang
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Stable K Multiple-Means Clustering Algorithm
Jisuanji kexue yu tansuo, 2021 For improving the performance of K-means on the nonconvex cluster, a multiple-means clustering method with specified K clusters partitions the original data into multiple subclasses, and formalizes the multiple-means clustering problem as an optimization
ZHANG Nini, GE Hongwei
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K-means and fuzzy c-means algorithm comparison on regency/city grouping in Central Java Province
Desimal, 2022 The Human Development Index (HDI) is very important in measuring the country's success as an effort to build the quality of life of people in a region, including Indonesia. The government needs to make groupings based on the needs of a city/district.
Ummu Wachidatul Latifah +2 more
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ATTRIBUTIVE-SPATIAL TOURIST CLUSTERATION OF REGIONS OF UKRAINE [PDF]
Geo Journal of Tourism and Geosites, 2021 Ukraine is positioned as a country with a strong tourism potential, much of which still remains unrealized. The main task of the study is to segment the regions of Ukraine according to the level of their tourism development.
Oleh VYSOCHAN +3 more
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Metode Elbow dalam Optimasi Jumlah Cluster pada K-Means Clustering
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, 2023 K-Means clustering merupakan salah satu strategi yang digunakan dalam analisis data dan machine learning untuk mengelompokkan data menjadi beberapa kelompok (cluster) berdasarkan kemiripan fitur atau atributnya.
Nadia Annisa Maori, Evanita Evanita
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Algorithms, 2020 Two new initialization methods for K-means clustering are proposed. Both proposals are based on applying a divide-and-conquer approach for the K-means‖ type of an initialization strategy. The second proposal also uses multiple lower-dimensional subspaces
Joonas Hämäläinen +2 more
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CLUSTERING KABUPATEN BERDASARKAN LUAS HUTAN MENGGUNAKAN METODE K-MEANS DI PROVINSI JAWA TENGAH
Jurnal Teknologi Industri Pertanian, 2023 Indonesia is one of the countries with the largest forest in the world. The tropical climate and high rainfall cause a lot of biodiversity in Indonesia’s forests. The existence of these forests can be utilized by many parties, both the government and the
Yusri Eli Hotman Turnip , Rina Fitriana
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