On the Comparison of Model-Based Clustering Solutions [PDF]
In this paper we propose a new similarity index, which can be used to compare model-based clustering solutions. We define also an adjusted-for-chance version, although we advise that, whenever feasible, bootstrap replications should be preferred to chance-corrected similarity indices.
TONELLATO, Stefano Federico +1 more
openaire +3 more sources
The human gut microbiome across the life course
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source
DDG-clustering: a novel technique for highly accurate results [PDF]
A key to the success of any clustering algorithm is the similarity measure applied. The similarity among different instances is defined according to a particular criterion.
Gaber, Mohamed Medhat +3 more
core
Image clustering using exponential discriminant analysis
Local learning based image clustering models are usually employed to deal with images sampled from the non‐linear manifold. Recently, linear discriminant analysis (LDA) based various clustering models were proposed.
Nasir Ahmed
doaj +1 more source
Hybrid self-optimized clustering model based on citation links and textual features to detect research topics. [PDF]
The challenge of detecting research topics in a specific research field has attracted attention from researchers in the bibliometrics community. In this study, to solve two problems of clustering papers, i.e., the influence of different distributions of ...
Dejian Yu +4 more
doaj +1 more source
Modulation of Homer1 EVH1 domain internal dynamics by putative autism‐associated mutations
The putative autism‐associated M65I and S97L variants of the EVH1 domain of the postsynaptic scaffold protein Homer1 do not exhibit substantial changes in their overall structure or partner binding. Both of them, but especially the M65I variant, show altered internal dynamics relative to the wild‐type domain on the μs‐ms timescale, indicated by the ...
Fanni Farkas +6 more
wiley +1 more source
Genetic algorithm based two-mode clustering of metabolomics data [PDF]
Metabolomics and other omics tools are generally characterized by large data sets with many variables obtained under different environmental conditions.
Werf, M.J. van der +15 more
core +1 more source
Improved LRFM model for clustering based on particle swarm optimization algorithm and K-means clustering [PDF]
The effort of this article is to solve one of the main problems in the field of banking, which is closely related to the field of information technology.
Mohammad Kazemi +2 more
doaj +1 more source
A VIOLENT CRIME ANALYSIS USING FUZZY C-MEANS CLUSTERING APPROACH [PDF]
Clustering Techniques are the most significant method of grouping data points based on certain similarity. There are two ways in clustering techniques, namely hard and soft clustering.
M Premasundari, C Yamini
doaj +1 more source
The ubiquitin‐proteasome system and autophagy as guardians of the cellular proteome
This Perspective covers the three principles governing the crosstalk between the ubiquitin‐proteasome system and autophagy in cellular proteostasis: (1) a shared ubiquitin code routing substrates via shuttle factors or autophagy receptors; (2) spatial compartmentalization into phase‐separated degradation hubs and organelle‐specific modules (exemplified
Ivan Dikic
wiley +1 more source

