Results 31 to 40 of about 938,196 (259)
Privacy-Preserving and Outsourced Multi-User k-Means Clustering [PDF]
, 2014 Many techniques for privacy-preserving data mining (PPDM) have been investigated over the past decade. Often, the entities involved in the data mining process are end-users or organizations with limited computing and storage resources.
Bertino, Elisa +4 more
core +3 more sources
Evidence accumulation clustering using combinations of features
MethodsX, 2020 : Evidence accumulation clustering (EAC) is an ensemble clustering algorithm that can cluster data for arbitrary shapes and numbers of clusters. Here, we present a variant of EAC in which we aimed to better cluster data with a large number of features ...
William Wong, Naotsugu Tsuchiya
doaj +1 more source
Unsupervised Multi-View K-Means Clustering Algorithm
IEEE Access, 2023 Since advanced technologies via social media, internet, virtual communities and networks and internet of things (IoT), there are more multi-view data to be collected.
Miin-Shen Yang, Ishtiaq Hussain
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K-Means Clustering with Local Distance Privacy
Big Data Mining and Analytics, 2023 With the development of information technology, a mass of data are generated every day. Collecting and analysing these data help service providers improve their services and gain an advantage in the fierce market competition.
Mengmeng Yang +2 more
doaj +1 more source
Journal of Applied Informatics and ComputingBasic 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
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Soil data clustering by using K-means and fuzzy K-means algorithm
Telfor Journal, 2016 A problem of soil clustering based on the chemical characteristics of soil, and proper visual representation of the obtained results, is analysed in the paper. To that aim, K-means and fuzzy K-means algorithms are adapted for soil data clustering.
E. Hot, V. Popović-Bugarin
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PROCESS CHARACTERISTICS ESTIMATION IN WEB APPLICATIONS USING K-MEANS CLUSTERING [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2020 Subject of Research. The paper presents the study of estimation problem of process characteristics for the particular case of user’s activity prediction in computer online games.
Victor V. Evstratov +1 more
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Unsupervised cryo-EM data clustering through adaptively constrained K-means algorithm
, 2016 In single-particle cryo-electron microscopy (cryo-EM), K-means clustering algorithm is widely used in unsupervised 2D classification of projection images of biological macromolecules.
Mao, Youdong +3 more
core +7 more sources
Lifestyle Behaviors and Cardiotoxic Treatment Risks in Adult Childhood Cancer Survivors
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Higher doses of anthracyclines and heart‐relevant radiotherapy increase cardiovascular disease (CVD) risk. This study assessed CVD and CVD risk factors among adult childhood cancer survivors (CCSs) across cardiotoxic treatment risk groups and examined associations between lifestyle behaviors and treatment risks.
Ruijie Li +6 more
wiley +1 more source
Vector quantization using k‐means clustering neural network
Electronics Letters, 2023 Vector Quantization (VQ) is a clustering problem in the fields of signal processing, source coding, information theory etc. Taking advantage of recent advances in the field of deep neural networks, this paper investigates the performance between VQ ...
Sio‐Kei Im, Ka‐Hou Chan
doaj +1 more source