Results 51 to 60 of about 346,399 (298)
Mass Exchange Processes with Input
, 2015 We investigate a system of interacting clusters evolving through mass exchange and supplemented by input of small clusters. Three possibilities depending on the rate of exchange generically occur when input is homogeneous: continuous growth, gelation ...
Krapivsky, P. L.
core +1 more source
Electricity load profile classification using Fuzzy C-Means method [PDF]
, 2008 This paper presents the Fuzzy C-Means (FCM) clustering method. The FCM technique assigns a degree of membership for each data set to several clusters, thus offering the opportunity to deal with load profiles that could belong to more than one group at ...
Bradley, D. +3 more
core +3 more sources
Molecular Oncology, EarlyView.Nanosecond infrared laser (NIRL) low‐volume sampling combined with shotgun lipidomics uncovers distinct lipidome alterations in oropharyngeal squamous cell carcinoma (OPSCC) of the palatine tonsil. Several lipid species consistently differentiate tumor from healthy tissue, highlighting their potential as diagnostic markers.
Leonard Kerkhoff +11 more
wiley +1 more source
Encoding Multi-Resolution Brain Networks Using Unsupervised Deep Learning
, 2017 The main goal of this study is to extract a set of brain networks in multiple time-resolutions to analyze the connectivity patterns among the anatomic regions for a given cognitive task.
Alchihabi, Abdullah +4 more
core +1 more source
Diversification in the international construction business [PDF]
, 2017 Economic globalization has created an interdependent market that allows companies to transcend traditional national boundaries to conduct business overseas. In the international construction market, companies often adopt diversification as a strategy for
Flanagan, Roger +3 more
core +2 more sources
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
A Bayesian cluster validity index
Computational Statistics & Data AnalysisComment: 23 ...
Onthada Preedasawakul +1 more
openaire +2 more sources
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
K-MACE and Kernel K-MACE Clustering
IEEE Access, 2020 Determining the correct number of clusters (CNC) is an important task in data clustering and has a critical effect on nalizing the partitioning results. K-means is one of the popular methods of clustering that requires CNC.
Soosan Beheshti +2 more
doaj +1 more source
Clustering of COVID-19 data for knowledge discovery using c-means and fuzzy c-means
Results in Physics, 2021 In this work, the partitioning clustering of COVID-19 data using c-Means (cM) and Fuzy c-Means (Fc-M) algorithms is carried out. Based on the data available from January 2020 with respect to location, i.e., longitude and latitude of the globe, the ...
Asif Afzal +6 more
doaj +1 more source