Results 171 to 180 of about 178,314 (358)
Hyper Graph Deviation Comparison & Cluster Relation In Categorical Data
, 2013 Kuncham Anvesh
openalex +1 more source
Advanced Engineering Materials, EarlyView.Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios +5 more
wiley +1 more source
gcMECM: graph clustering of mutual exclusivity of cancer mutations. [PDF]
BMC Bioinformatics, 2021 Hu Y, Yan C, Chen Q, Meerzaman D.
europepmc +1 more source
An Algorithmic Walk from Static to Dynamic Graph Clustering
, 2010 Robert Görke
openalex +1 more source
Assessing Altered Coating Adhesion on Plasma‐Deoxidized Surfaces Under Oxygen‐Free Conditions
Advanced Engineering Materials, EarlyView.This study demonstrates the effectiveness of atmospheric pressure plasma pretreatment in modifying silicon and stainless steel surfaces to improve adhesion. Argon‐hydrogen plasma increases surface roughness and improves adhesion strength, whereas pure argon results in smoother surfaces and structural changes.
Selina Raumel +6 more
wiley +1 more source
Analysis of the singular value decomposition as a tool for processing microarray expression data
, 2005 We give two informative derivations of a spectral algorithm for clustering and partitioning a bi-partite graph. In the first case we begin with a discrete optimization problem that relaxes into a tractable continuous analogue.
Kalna, G. +5 more
core
Fast Spectral Clustering with efficient large graph construction
, 2017 Spectral clustering has been regarded as a powerful tool for unsupervised tasks despite its excellent performance, the high computational cost has become a bottleneck which limits its application for large scale problems. Recent studies on anchor-based
Feiping Nie +5 more
core +1 more source
Dual-channel attribute graph clustering beyond the homogeneity assumption
Dianxin kexueIn recent years, significant progress has been made in the research of attribute graph clustering. However, existing methods are mostly based on the homogeneity assumption, thereby neglecting the application scenarios of heterogeneous graphs, leading to ...
AN Junxiu, LIU Yuan, YANG Linwang
doaj
MLG: multilayer graph clustering for multi-condition scRNA-seq data. [PDF]
Nucleic Acids Res, 2021 Lu S +5 more
europepmc +1 more source
Graph Clustering by Maximizing Statistical Association Measures
, 2013 Julien Ah-Pine
openalex +2 more sources