Results 141 to 150 of about 15,644,966 (296)
Parallelization of the Algorithm K-means Applied in Image Segmentation
Algorithm k-means is useful for grouping operations; however, when is applied to large amounts of data, its computational cost is high. This research propose an optimization of k-means algorithm by using parallelization techniques and synchronization ...
López Del Alamo, Cristian +2 more
core +1 more source
ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou +16 more
wiley +1 more source
Целью данной работы является реализация алгоритма кластеризации методом k-средних. В результате разработана программа, в которой реализован данный метод на примере множества точек на плоскости. The purpose of this work is the implemention of the k-means
Стремоус, М. А.
core +1 more source
Peripheral Neutrophil Activation and Extracellular Trap Formation in Amyotrophic Lateral Sclerosis
Markers of neutrophil activation are increased in plasma during ALS, and markers of NET formation associate with ALS survival. ABSTRACT Objectives Peripheral neutrophil levels in amyotrophic lateral sclerosis (ALS) inversely correlate with survival, suggesting a role for neutrophils in disease progression.
Lillia A. Baird +9 more
wiley +1 more source
Public concerns and attitudes towards autism on Chinese social media based on K-means algorithm. [PDF]
Zhou Q, Lei Y, Du H, Tao Y.
europepmc +1 more source
ABSTRACT Objective To clarify the clinical relevance of dopamine transporter single‐photon emission computed tomography (DAT‐SPECT) abnormalities in amyotrophic lateral sclerosis (ALS), with a prespecified focus on sex‐stratified associations with disease progression and short‐term prognosis.
Tomoya Kawazoe +7 more
wiley +1 more source
Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang +4 more
wiley +1 more source
Precision Marketing Analysis Based on HC-KMEANS Algorithm
In order to improve the sales level of e-commerce platform products and promote the healthy development of e-commerce platform, a construction method of e-commerce affective precision system based on Hierarchical Clustering K-means algorithm (HC K means)
Jingwen Li
doaj +1 more source
Application of Statistical K-Means Algorithm for University Academic Evaluation. [PDF]
Yu D, Zhou X, Pan Y, Niu Z, Sun H.
europepmc +1 more source

