Results 61 to 70 of about 14,276,290 (299)
K-MEANS WITH SAMPLING FOR DETERMINING PROMINENT COLORS IN IMAGES
ICTACT Journal on Soft Computing, 2022 A tool that quickly calculates the dominant colors of an image can be very useful in image processing. The k-means clustering algorithm has this potential since it partitions a set of data into n clusters and returns a representative data point from each
Angelina Cheng +2 more
doaj +1 more source
K−Means Clustering Microaggregation for Statistical Disclosure Control
, 2012 This paper presents a K-means clustering technique that satisfies the bi-objective function to minimize the information loss and maintain k-anonymity. The proposed technique starts with one cluster and subsequently partitions the dataset into two or more
Abdun Naser Mahmood +5 more
core +1 more source
A Feature-Reduction Multi-View k-Means Clustering Algorithm
IEEE 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
Acute Neurological Events in Children With Hemoglobin SC Disease: A Multicenter Retrospective Study
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Neurological manifestations in children with hemoglobin SC (HbSC) disease remain insufficiently characterized, particularly regarding acute events. The aim of this study was to describe the spectrum and frequency of acute neurological events in a multicenter cohort of children with HbSC disease.
Célia Paulmin +11 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Embryonal tumors comprise the majority of malignant central nervous system (CNS) neoplasms diagnosed in children under 3 years of age. Compared with their counterparts in older children, these tumors exhibit distinct molecular biology and a more aggressive clinical phenotype, while their management is complicated by the heightened ...
Sudarshawn Damodharan +3 more
wiley +1 more source
K+ Means : An Enhancement Over K-Means Clustering Algorithm
CoRR, 2017 Authors: Co-author's name added Section 3: Step (a) and (b) of K+Means algorithm are merged for simplicity. Section 3.1: K+ Means algorithm complexity rectified.
Srikanta Kolay +2 more
openaire +2 more sources
, 2021 The table of GECO scores generated after clustering with k-means using each value of k listed in the first column ‘k’. (CSV)
Akul Singhania (502117) +3 more
core +1 more source
Ewing Sarcoma in Infants and Children Under 2 Years of Age: A French Retrospective Study
Pediatric Blood &Cancer, EarlyView.ABSTRACT Ewing sarcoma, the second most common primary bone cancer in children, requires intensive treatment that may lead to significant long‐term sequelae, particularly in infants. We retrospectively analyzed data from 1621 French patients treated between 1988 and 2015 within the EW88/93/97 or EE99 trials, focusing on 17 infants diagnosed before 24 ...
Elodie Verdier +18 more
wiley +1 more source