Results 11 to 20 of about 940,524 (345)
The global k-means clustering algorithm
Pattern Recognition, 2003 Aristidis Likas, Nikos Vlassis
exaly +2 more sources
$k$-means clustering of extremes [PDF]
Electronic Journal of Statistics, 2020 The $k$-means clustering algorithm and its variant, the spherical $k$-means clustering, are among the most important and popular methods in unsupervised learning and pattern detection. In this paper, we explore how the spherical $k$-means algorithm can be applied in the analysis of only the extremal observations from a data set.
Janßen, Anja, Wan, Phyllis
openaire +5 more sources
Transformed K-means Clustering [PDF]
2021 29th European Signal Processing Conference (EUSIPCO), 2021 EUSIPCO ...
Anurag Goel, Angshul Majumdar
openaire +2 more sources
Kernel Probabilistic K-Means Clustering
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Pengelompokan Data Nilai Siswa Menggunakan Metode K-Means Clustering
Journal of Artificial Intelligence and Technology Information (JAITI), 2023 Data mining merupakan sebuah metode dalam bidang ilmu komputer yang digunakan dalam mencari pengetahuan dari data sehingga menjadi sebuah informasi yang bermanfaat.
Aditia Yudhistira, Rio Andika
semanticscholar +1 more source
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
doaj +1 more source
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
doaj +1 more source