Results 61 to 70 of about 1,871,913 (147)

A Feature-Reduction Multi-View k-Means Clustering Algorithm

open access: yesIEEE Access, 2019
The k-means clustering algorithm is the oldest and most known method in cluster analysis. It has been widely studied with various extensions and applied in a variety of substantive areas.
Miin-Shen Yang, Kristina P. Sinaga
doaj   +1 more source

A Improving House Price Clustering Results with K-means through the Implementation of One-hot Encoding Pre-processing Technique

open access: yesJournal of Applied Informatics and Computing
Basic human needs include a house that serves as a place to live and a shelter from everything. In Indonesia, owning a house is still a challenging aspect due to its high price.
Vicka Rizqi Maulani   +2 more
doaj   +1 more source

Pulse wave time series unsupervised clustering with importance ratios for heart failure subgroups detection

open access: yesJournal of Biomechanical Science and Engineering
Heart failure (HF) is a significant global public health issue, and accurate diagnosis and effective management are crucial for improving patient outcomes. This study aims to identify potential HF patient subgroups based on the pulse wave time series via
Dandan WU   +4 more
doaj   +1 more source

Capacity Optimization Configuration of Hybrid Energy Storage Systems for Wind Farms Based on Improved k-means and Two-Stage Decomposition

open access: yesEnergies
To address the issue of excessive grid-connected power fluctuations in wind farms, this paper proposes a capacity optimization method for a hybrid energy storage system (HESS) based on wind power two-stage decomposition.
Xi Zhang   +4 more
doaj   +1 more source

Federated K-Means Clustering

open access: yes
Federated learning is a technique that enables the use of distributed datasets for machine learning purposes without requiring data to be pooled, thereby better preserving privacy and ownership of the data. While supervised FL research has grown substantially over the last years, unsupervised FL methods remain scarce.
Swier Garst, Marcel J. T. Reinders
openaire   +3 more sources

Safety Risk Assessment and Classification of Cadmium in Grain Processing Products

open access: yesFoods
As a staple food for people worldwide, processed grain products, including rice, wheat flour, etc., have been the major source of the toxic element cadmium for human exposure.
Qingchuan Zhang   +4 more
doaj   +1 more source

Optimisation of Criminal Data Clustering Model using Information Gain

open access: yesJournal of Innovation Information Technology and Application
Crime is a phenomenon that significantly impacts society, necessitating mapping efforts that can be utilized for further analysis. Clustering, as a data analysis technique, groups objects based on similarities or differences in their characteristics ...
Prih Diantono Abda’u   +3 more
doaj  

Spherical k-Means Clustering

open access: yesJournal of Statistical Software, 2012
Clustering text documents is a fundamental task in modern data analysis, requiring approaches which perform well both in terms of solution quality and computational efficiency.
Kurt Hornik   +3 more
doaj  

Research on Recognition of Green Sichuan Pepper Clusters and Cutting-Point Localization in Complex Environments

open access: yesAgriculture
The harvesting of green Sichuan pepper remains heavily reliant on manual field operations, but automation can enhance the efficiency, quality, and sustainability of the process.
Qi Niu   +8 more
doaj   +1 more source

Accelerating the k-Means++ Algorithm by Using Geometric Information

open access: yesIEEE Access
Clustering is a fundamental task in data analysis with applications across a wide range of fields, such as computer vision, pattern recognition, and data mining.
Guillem Rodriguez Corominas   +2 more
doaj   +1 more source

Home - About - Disclaimer - Privacy