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A survey of popular R packages for cluster analysis [PDF]
, 2016 Cluster analysis is a set of statistical methods for discovering new group/class structure when exploring datasets. This article reviews the following popular libraries/commands in the R software language for applying different types of cluster analysis:
Dean, Nema, Flynt, Abby
core +2 more sources
Hierarchical Cluster Analysis: Comparison of Three Linkage Measures and Application to Psychological Data [PDF]
Tutorials in Quantitative Methods for Psychology, 2015 Cluster analysis refers to a class of data reduction methods used for sorting cases, observations, or variables of a given dataset into homogeneous groups that differ from each other.
Odilia Yim, Kylee T. Ramdeen
doaj +2 more sources
Exploration of Targeted Anti-tumor Therapy, 2021 Aim: Triple-negative breast cancer (TNBC) is the most malignant subtype of breast cancer with high heterogeneity, rapid progression, and paucity of treatment options. The most effective chemotherapeutic drug used to treat TNBC is doxorubicin (Doxo) which
Garhima Arora +2 more
doaj +1 more source
Statistical power for cluster analysis [PDF]
BMC Bioinformatics, 2020 Cluster algorithms are gaining in popularity in biomedical research due to their compelling ability to identify discrete subgroups in data, and their increasing accessibility in mainstream software.
Edwin S. Dalmaijer +2 more
semanticscholar +1 more source
Scientific Reports, 2021 Research on new cancer drugs is performed either through gene knockout studies or phenotypic screening of drugs in cancer cell-lines. Both of these approaches are costly and time-consuming.
Abhijit Paul +5 more
doaj +1 more source
Encyclopedia of Gerontology and Population Aging, 2021 • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely ...
J. Vermunt, J. Magidson
semanticscholar +1 more source
Coral endosymbiont growth is enhanced by metabolic interactions with bacteria
Nature Communications, 2023 Bacteria are key contributors to microalgae resource acquisition, competitive performance, and functional diversity, but their potential metabolic interactions with coral microalgal endosymbionts (Symbiodiniaceae) have been largely overlooked.
Jennifer L. Matthews +10 more
doaj +1 more source
Coming home to die? The association between migration and mortality in rural Tanzania before and after ART scale-up [PDF]
Global Health Action, 2014 Background: Prior to the scale-up of antiretroviral therapy (ART), demographic surveillance cohort studies showed higher mortality among migrants than residents in many rural areas.
Francis Levira +2 more
doaj +1 more source
Population density and energy consumption: A study in Indonesian provinces
Heliyon, 2022 As the world’s fourth most populous country, the population growth rate in Indonesia is expected to stay high. Owing to a combination of high-speed urbanization and increasing population density, economic growth is predicted to increase the demand for ...
Irfani Fithria Ummul Muzayanah +4 more
doaj +1 more source
Complex & Intelligent Systems, 2021 Compared to the intuitionistic fuzzy sets, the Pythagorean fuzzy sets (PFSs) can provide the decision makers with more freedom to express their evaluation information.
Mingwei Lin +4 more
semanticscholar +1 more source