Results 11 to 20 of about 2,020,230 (285)

Improving Scalable K-Means++

open access: yesAlgorithms, 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

Scalable k-means++

open access: yesProceedings of the VLDB Endowment, 2012
Over half a century old and showing no signs of aging, k -means remains one of the most popular data processing algorithms. As is well-known, a proper initialization of k -means is crucial for obtaining a good final solution.
Bahmani, Bahman   +4 more
openaire   +2 more sources

The development of a GIS for New Deal Archaeology

open access: yesBulletin of the History of Archaeology, 2011
I have recently launched an effort to create a GIS of all New Deal-funded archaeological investigations conducted in the 48 states that comprised the USA during the Great Depression (Means 2011).
Bernard K. Means
doaj   +1 more source

Optimized K‐Means Algorithm [PDF]

open access: yesMathematical Problems in Engineering, 2014
The localization of the region of interest (ROI), which contains the face, is the first step in any automatic recognition system, which is a special case of the face detection. However, face localization from input image is a challenging task due to possible variations in location, scale, pose, occlusion, illumination, facial expressions, and clutter ...
Samir Brahim Belhaouari   +2 more
openaire   +1 more source

Metode Boost-K-means untuk Clustering Puskesmas berdasarkan Persentase Bayi yang Diimunisasi

open access: yesJRST: 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

Kernel Probabilistic K-Means Clustering

open access: yesSensors, 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

Labouring in the Fields of the Past: Geographic Variation in New Deal Archaeology Across the Lower 48 United States

open access: yesBulletin of the History of Archaeology, 2015
New Deal archaeology survey and excavation projects across the lower 48 states exhibit considerable geographic variation in their nature and extent. Part of this variation can be linked to strong regional personalities, while other variation depended on ...
Bernard K. Means
doaj   +1 more source

Customer analytics for online retailers using weighted k-means and RFM analysis

open access: yesData Analytics and Applied Mathematics, 2023
In recent years, there has been a significant trend toward data-driven enterprises in the business world. This trend is exemplified by the frustration reported by 74% of customers when they encounter ads that are not relevant to them, as reported by ...
Ahmed Mohamed Ahmed Serwah   +3 more
doaj   +1 more source

Functional Factorial K-means Analysis [PDF]

open access: yes, 2014
A new procedure for simultaneously finding the optimal cluster structure of multivariate functional objects and finding the subspace to represent the cluster structure is presented.
Terada, Yoshikazu, Yamamoto, Michio
core   +2 more sources

The Monongahela tradition in "real time": Bayesian analysis of radiocarbon dates.

open access: yesPLoS ONE, 2022
Despite advances in techniques, methods, and theory, northeastern North American archaeologists continue to use early to mid-twentieth century culture historical taxa as units of analysis and narrative.
John P Hart, Bernard K Means
doaj   +1 more source

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