Results 51 to 60 of about 1,500,611 (328)

On the Comparison of Model-Based Clustering Solutions [PDF]

SSRN Electronic Journal, 2013
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, PASTORE, Andrea   +1 more
openaire   +3 more sources

Imputation Estimators Partially Correct for Model Misspecification [PDF]

, 2010
Inference problems with incomplete observations often aim at estimating population properties of unobserved quantities. One simple way to accomplish this estimation is to impute the unobserved quantities of interest at the individual level and then take ...
Minin, Vladimir N., O'Brien, John D., Seregin, Arseni   +2 more
core   +1 more source

Model-Based Clustering for Social Networks [PDF]

Journal of the Royal Statistical Society Series A: Statistics in Society, 2007
SummaryNetwork models are widely used to represent relations between interacting units or actors. Network data often exhibit transitivity, meaning that two actors that have ties to a third actor are more likely to be tied than actors that do not, homophily by attributes of the actors or dyads, and clustering.
Handcock, Mark S., Raftery, Adrian, Tantrum, Jeremy   +2 more
openaire   +1 more source

Reciprocal control of viral infection and phosphoinositide dynamics

FEBS Letters, EarlyView.
Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley   +1 more source

Clustering Algorithm Based on Improved SOM Model [PDF]

Jisuanji kexue
In the training process of the Self-Organizing Map,different classes of data have varying effects on the update of the weight matrix.Therefore,the update of the weight matrix for a certain class of data will have an impact on the feature vectors of the ...
JIANG Rui, FAN Shuwen, WANG Xiaoming, XU Youyun
doaj   +1 more source

Diffusion model based spectral clustering for protein-protein interaction networks. [PDF]

PLoS ONE, 2010
BACKGROUND: A goal of systems biology is to analyze large-scale molecular networks including gene expressions and protein-protein interactions, revealing the relationships between network structures and their biological functions.
Kentaro Inoue, Weijiang Li, Hiroyuki Kurata   +2 more
doaj   +1 more source

A Design of CGK-Based Granular Model Using Hierarchical Structure

Applied Sciences, 2022
In this paper, we propose context-based GK clustering and design a CGK-based granular model and a hierarchical CGK-based granular model. Existing fuzzy clustering generates clusters using Euclidean distances.
Chan-Uk Yeom, Keun-Chang Kwak
doaj   +1 more source

Simple Measures of Individual Cluster-Membership Certainty for Hard Partitional Clustering

, 2018
We propose two probability-like measures of individual cluster-membership certainty which can be applied to a hard partition of the sample such as that obtained from the Partitioning Around Medoids (PAM) algorithm, hierarchical clustering or k-means ...
Graham, Jinko, Liu, Dongmeng
core   +2 more sources

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

FEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe, Tanmay Kumar Mohanty, Rashna Bhandari, Dorothea Fiedler   +3 more
wiley   +1 more source

Calibration of hydrological models for ungauged catchments by automatic clustering using a differential evolution algorithm: The Gorganrood river basin case study

Journal of Hydroinformatics, 2023
The hydrological model calibration is a challenging task, especially in ungauged catchments. The regionalization calibration methods can be used to estimate the parameters of the model in ungauged sub-catchments.
Zahra Alizadeh, Jafar Yazdi
doaj   +1 more source