Results 51 to 60 of about 636,655 (299)
Journal of Medical Signals and Sensors, 2013 In this study, we considered some competitive learning methods including hard competitive learning and soft competitive learning with/without fixed network dimensionality for reliability analysis in microarrays.
Rahele Kafieh, Alireza Mehridehnavi
doaj
Automatic Clustering Using Multi-objective Particle Swarm and Simulated Annealing.
PLoS ONE, 2015 This paper puts forward a new automatic clustering algorithm based on Multi-Objective Particle Swarm Optimization and Simulated Annealing, "MOPSOSA". The proposed algorithm is capable of automatic clustering which is appropriate for partitioning datasets
Ahmad Abubaker +2 more
doaj +1 more source
Australian Journal of Psychology, 2022 With the increased scholarly interest in career success measurements, this study investigated the construct validity and measurement invariance of the Subjective Career Success Inventory. A sample of 736 South African employees participated in the study.
Chantal Olckers, Eileen Koekemoer
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Mass accretion rates of clusters of galaxies: CIRS and HeCS
, 2021 We use a new spherical accretion recipe tested on N-body simulations to measure the observed mass accretion rate (MAR) of 129 clusters in the Cluster Infall Regions in the Sloan Digital Sky Survey (CIRS) and in the Hectospec Cluster Survey (HeCS).
Baldi, M. +8 more
core +1 more source
Molecular Oncology, EarlyView.This study shows that copy number variations (CNVs) can be reliably detected in formalin‐fixed paraffin‐embedded (FFPE) solid cancer samples using ultra‐low‐pass whole‐genome sequencing, provided that key (pre)‐analytical parameters are optimized.
Hanne Goris +10 more
wiley +1 more source
SMAUG: a new technique for the deprojection of galaxy clusters
, 2003 This paper presents a new technique for reconstructing the spatial distributions of hydrogen, temperature and metal abundance of a galaxy cluster. These quantities are worked out from the X-ray spectrum, modeled starting from few analytical functions ...
De Grandi S. +5 more
core +1 more source
Molecular Oncology, EarlyView.To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley +1 more source
New Evaluation Method for Fuzzy Cluster Validity Indices
IEEE AccessCluster analysis is the process of associating data objects with classes of similar objects. One key aspect of the clustering problem is to determine the optimal number of groups on a data set to effectively partition it.
Ismay Perez-Sanchez +4 more
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A new exponential cluster validity index using Jaccard distance [PDF]
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, 2012 Estimating the optimal number of clusters in an unsupervisedpartitioning of data sets has been a challenging area in recent years.These indices usually use two criteria called compactness andseparation to evaluate the efficiency of the performed ...
Mohamad Hossein Fazel Zarandi +2 more
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An Internal Validity Index Based on Density-Involved Distance
IEEE Access, 2019 It is crucial to evaluate the quality of clustering results in cluster analysis. Although many cluster validity indices (CVIs) have been proposed in the literature, they have some limitations when dealing with non-spherical datasets.
Lianyu Hu, Caiming Zhong
doaj +1 more source