Results 91 to 100 of about 14,371,534 (281)

Spatial Transformer K-Means

open access: yes2022 56th Asilomar Conference on Signals, Systems, and Computers, 2022
arXiv admin note: substantial text overlap with arXiv:2012 ...
Romain Cosentino   +5 more
openaire   +3 more sources

The Impact of the COVID‐19 Pandemic on Childhood Cancer Survival: A Population‐Based Assessment of Survival Patterns Between 2015 and 2023 in Germany

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Numerous international studies have reported declines in new cancer diagnoses, delayed diagnoses and disruptions in cancer treatment following the implementation of COVID‐19 pandemic public health measures, raising concerns that these effects may ultimately contribute to increased cancer mortality.
Friederike Erdmann   +8 more
wiley   +1 more source

Referral Patterns and Diagnostic Timeliness in Pediatric Cancer: A Hospital‐Based Study in Indonesia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Timely diagnosis and treatment are critical for improving survival among children with cancer. In low‐ and middle‐income countries (LMICs), delays are common and may be influenced by fragmented referral pathways and diagnostic limitations.
Nur Melani Sari   +5 more
wiley   +1 more source

Apache Mahout's k-Means vs Fuzzy k-Means Performance Evaluation [PDF]

open access: yes2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS), 2016
(c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Xhafa Xhafa, Fatos   +3 more
openaire   +1 more source

Language, Culture, and Cancer: Qualitative Insights Into Communication Disparities Among Spanish‐Speaking Caregivers of Children With Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Latino children are projected to make up nearly one‐third of United States (US) children by 2060, and many of their caregivers speak Spanish. Prior survey research has documented communication difficulties for Spanish‐speaking caregivers of children with cancer, but contemporary qualitative data are limited.
Jenny Ruiz   +6 more
wiley   +1 more source

Implementation of K-means Clustering Algorithm using Java [PDF]

open access: yes, 2011
Emergence of modern techniques for scientific data collection has resulted in large scale accumulation of data pertaining to diverse fields. Conventional database querying methods are inadequate to extract useful information from huge data analysis ...
Prof. S.China Venkateswarlu   +2 more
core  

An Integrated K-Means++–Davies–Bouldin Index Approach for Educational Resource-Based District Clustering: A Case Study of Districts in Surabaya

open access: yesJambura Journal of Mathematics
Equitable distribution of educational resources is an important prerequisite to ensure that all communities benefit from human resource development. Access to education through the availability of schools and teachers at every level, plays a role in ...
Hendrik Subaekti   +3 more
doaj   +1 more source

Biphasic Clinical Course of Pediatric Cytomegalovirus‐Associated Immune Thrombocytopenia: Early Poor Treatment Response but Favorable Long‐Term Outcomes

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cytomegalovirus (CMV) is a recognized trigger of immune thrombocytopenia (ITP); however, its incidence and impact on disease course in children remain controversial. Therefore, we aimed to characterize the clinical course of pediatric patients with CMV‐associated ITP.
Oded Gilad   +9 more
wiley   +1 more source

Comparison of the dissolved oxygen content forecasting values obtained by SC-K-means-RBF and other methods.

open access: yes, 2018
Comparison of the dissolved oxygen content forecasting values obtained by SC-K-means-RBF and other methods.
Qianqian Cheng (4872292)   +4 more
core   +1 more source

A Comparative Study of K-means Clustering Algorithms Using Euclidean and Manhattan Distance for Climate Data. [PDF]

open access: yesالمجلة العراقية للعلوم الاحصائية
The K-means clustering algorithms (Random, K-means++, Canopy, and Farthest First) are unsupervised machine learning techniques designed to group data points based on their similarities. The study examined the effects of clustering algorithms and distance
Bakhshan Hamad
doaj   +1 more source

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