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https://doi.org/10.2139/ssrn.4669238

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inferredcites →https://doi.org/10.1007/bf02289565openalex-extracted
Multidimensional Scaling by Optimizing Goodness of Fit to a Nonmetric Hypothesis
inferredcites →https://doi.org/10.1007/s10462-022-10366-3openalex-extracted
Comprehensive survey on hierarchical clustering algorithms and the recent developments
inferredcites →https://doi.org/10.1016/0169-7439(95)00047-xopenalex-extracted
Multivariate curve resolution applied to second order data
inferredcites →https://doi.org/10.1016/j.aca.2014.08.043openalex-extracted
Non-invasive analytical technology for the detection of contamination, adulteration, and authenticity of meat, poultry, and fish: A review
inferredcites →https://doi.org/10.1016/j.aca.2020.10.040openalex-extracted
Joint selection of essential pixels and essential variables across hyperspectral images
inferredcites →https://doi.org/10.1016/j.aca.2021.338361openalex-extracted
Pixel-based Raman hyperspectral identification of complex pharmaceutical formulations
inferredcites →https://doi.org/10.1016/j.aca.2022.339532openalex-extracted
Selection of essential spectra to improve the multivariate curve resolution of minor compounds in complex pharmaceutical formulations
inferredcites →https://doi.org/10.1016/j.celrep.2021.109442openalex-extracted
Dimensionality reduction by UMAP reinforces sample heterogeneity analysis in bulk transcriptomic data
inferredcites →https://doi.org/10.1016/j.crfs.2021.01.002openalex-extracted
Machine learning techniques for analysis of hyperspectral images to determine quality of food products: A review
inferredcites →https://doi.org/10.1016/j.fochx.2023.100850openalex-extracted
A comprehensive review of the current trends and recent advancements on the authenticity of honey
inferredcites →https://doi.org/10.1016/j.foodchem.2016.04.044openalex-extracted
Classification of maize kernels using NIR hyperspectral imaging
inferredcites →https://doi.org/10.1016/j.foodchem.2023.136761openalex-extracted
An update on formaldehyde adulteration in food: sources, detection, mechanisms, and risk assessment
inferredcites →https://doi.org/10.1016/j.foodcont.2023.110042openalex-extracted
Sniffing out adulteration in saffron: Detection methods and health risks
inferredcites →https://doi.org/10.1016/j.sab.2022.106508openalex-extracted
Interesting features finder (IFF): Another way to explore spectroscopic imaging data sets giving minor compounds and traces a chance to express themselves
inferredcites →https://doi.org/10.1016/j.scitotenv.2022.158760openalex-extracted
Implementing a novel deep learning technique for rainfall forecasting via climatic variables: An approach via hierarchical clustering analysis
inferredcites →https://doi.org/10.1016/j.trac.2023.117105openalex-extracted
Pattern recognition techniques in food quality and authenticity: A guide on how to process multivariate data in food analysis
inferredcites →https://doi.org/10.1021/acs.analchem.9b02890openalex-extracted
Essential Spectral Pixels for Multivariate Curve Resolution of Chemical Images
inferredcites →https://doi.org/10.1037/h0071325openalex-extracted
Analysis of a complex of statistical variables into principal components.
inferredcites →https://doi.org/10.1038/44565openalex-extracted
Learning the parts of objects by non-negative matrix factorization
inferredcites →https://doi.org/10.1038/nbt.4314openalex-extracted
Dimensionality reduction for visualizing single-cell data using UMAP
inferredcites →https://doi.org/10.1038/s10038-020-00851-4openalex-extracted
A review of UMAP in population genetics
inferredcites →https://doi.org/10.1038/s41524-018-0139-yopenalex-extracted
Manifold learning of four-dimensional scanning transmission electron microscopy
inferredcites →https://doi.org/10.1038/s41598-017-04501-2openalex-extracted
Hyperspectral Imaging for Presymptomatic Detection of Tobacco Disease with Successive Projections Algorithm and Machine-learning Classifiers
inferredcites →https://doi.org/10.1038/s42005-021-00549-9openalex-extracted
Benchmark and application of unsupervised classification approaches for univariate data
inferredcites →https://doi.org/10.1080/10408398.2014.967834openalex-extracted
Food adulteration: Sources, health risks, and detection methods
inferredcites →https://doi.org/10.1109/5.58325openalex-extracted
The self-organizing map
inferredcites →https://doi.org/10.1109/lgrs.2008.2001282openalex-extracted
Limitations of Principal Components Analysis for Hyperspectral Target Recognition
inferredcites →https://doi.org/10.1126/science.290.5500.2319openalex-extracted
A Global Geometric Framework for Nonlinear Dimensionality Reduction
inferredcites →https://doi.org/10.1126/science.290.5500.2323openalex-extracted
Nonlinear Dimensionality Reduction by Locally Linear Embedding
inferredcites →https://doi.org/10.1177/09603360221099920openalex-extracted
Target detection of melamine in wheat gluten in a NIR infrared hyperspectral image
inferredcites →https://doi.org/10.18637/jss.v061.i06openalex-extracted
NbClust : An R Package for Determining the Relevant Number of Clusters in a Data Set
inferredcites →https://doi.org/10.2466/pr0.1966.18.3.851openalex-extracted
Hierarchical Cluster Analysis
inferredcites →https://doi.org/10.48550/arxiv.1802.03426openalex-extracted
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
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