26 Nov 2025
New preprint! (by @kieran_s_owens)
Of interest to anyone who analyzes time-series data!:
"Time-series dimension reduction: a comprehensive review and conceptual unification of algorithms"
techrxiv.org/users/999518/ar…
#timeseries #dimensionreduction #complexsystems
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18 Sep 2024
#Daily_Share
Welcome to read and share the newly published paper "Hardness and Approximability of Dimension Reduction on the Probability Simplex".
This excellent paper is written by Roberto Bruno
Link: mdpi.com/1999-4893/17/7/296
#dimensionreduction #NPcompleteness #approximation
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7 Mar 2023
Dimensionality reduction is a key technique in AI and machine learning. It can help identify the most important features in a dataset and reduce complexity in ML models, making them easier to interpret and improve performance. #AI #MachineLearning #DimensionReduction
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31 Dec 2022
New #bioinfonotes about Principal Component Analysis (PCA) in RStudio has been published !
#biology #science #PCA #dimensionreduction #data #machinelearning #rstudio #datascience #programming #algorithms #datavisualization #biologynotes
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8 Jun 2022
Human Activity Discovery with Automatic Multi-objective Particle Swarm Optimization Clustering with Gaussian Mutation and Game Theory #TechRxiv #unsupervisedlearning #clustering #multiobjectives #evolutionaryalgorithm #gametheory #dimensionreduction
techrxiv.org/articles/prepri…
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31 Mar 2022
Joint dimension reduction and clustering analysis of single-cell RNA-seq and spatial transcriptomics data. #SingleCell #scRNAseq #DimensionReduction #DataClustering academic.oup.com/nar/advance… @NAR_Open
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20 Jan 2022
New #compchem methods consider the effect of molecular vibrations on reaction #simulations, and visualize deviation from conventional, static reaction coordinates as an intuitive 2D map.
#moleculardynamics #dimensionreduction #quantumchemistry
icredd.hokudai.ac.jp/researc…
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Having #MachineLearning or #DataScience #Interview? Can you answer this question? 🤔
❓ QA: "Why high dimensional data might be a problem?"
📚 Topic: #dimensionreduction
🟢 Difficulty: Junior
#math #ai #python
Check Right Answer Now 👇
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Implementing Principal Component Analysis using #Numpy
* Mean Centering
* Covariance
* Eigen Values and Eigen Vectors.
#MachineLearning #100DaysOfCode #Python #dimensionReduction
Link: github.com/Mayurji/MLWithNum…
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10 Apr 2021
Beginners Guide to learn Dimension Reduction Techniques- buff.ly/3s5q5ih #dimensionreduction #DataScience
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🗣 #MiCM 𝙒𝙞𝙣𝙩𝙚𝙧 𝙒𝙤𝙧𝙠𝙨𝙝𝙤𝙥 𝙎𝙚𝙧𝙞𝙚𝙨 : free & #McGillCommunity
Registration for the first 2 is currently 𝗢𝗣𝗘𝗡.
📌 #Python 25 Feb —> shorturl.at/jlrxO
📌 #DimensionReduction 4 March—> shorturl.at/LY124
#McGillMicM #Workshops
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27 Jan 2021
Good question! Hyperspectral #remotesensing attracted me these days therefore I am currently working on #dimensionreduction and #featureextraction for hyperspectral data even though I studied PolSAR remote sensing. #EOchat @BZgeo
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17 Jan 2021
I summarised strongly related groups of explanatory variables (covariates/features) with synthetic variables produced by the #rstats package 'ClustOfVar'
See S7: onlinelibrary.wiley.com/acti…
#DimensionReduction
#FeatureEngineering
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30 Oct 2020
🧐Have you heard about the #Artificial #NeuralNetwork AutoEncoder? #DimensionReduction
👉starship-knowledge.com/autoe…
#BigData #Analytics #DataScience #AI #MachineLearning #IoT #Python #TensorFlow #DataScientist #Linux #Programming #Coding #100DaysofCode #Science #DeepLearning
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30 Oct 2020
🧐Have you heard about the #Artificial #NeuralNetwork AutoEncoder? #DimensionReduction
👉starship-knowledge.com/autoe…
#BigData #Analytics #DataScience #AI #MachineLearning #IoT #Python #TensorFlow #DataScientist #Linux #Programming #Coding #100DaysofCode #Science #DeepLearning
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3 Sep 2020
Dimensionality reduction refers to techniques that reduce the number of input variables in a dataset.
Visit us at: data-stats.com
#deeplearning #dataStats #learninspiregrow #pythoncode #workfromhome #100daysofcode #machinelearning #dimensionreduction #featureengineering
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19 Aug 2020
📖🖊️Institut Fayol @MINES_StEtienne
Reducing dimension in Bayesian Optimization:
R. Le Riche, A. Spagnol, D. Gaudrie, S. da Veiga, V. Picheny👏👍⬇️#BayesianOptimization #GlobalOptimization #DimensionReduction
@limos_lab @CNRS @SAFRAN @GroupePSA @PROWLER_IO
hal.archives-ouvertes.fr/hal…
ALT This talk was given at the LIMOS on July the 9th 2020 and was mainly intended for an audience of non specialists of Gaussian processes (GPs). The first slides (up to slide 12) about GPs and Bayesian Optimization should probably be skipped by readers already aware about them. However, the two research contributions on variable selection for optimization 1) by kernel methods and, 2) by penalized likelihood in the PCA space, may be of interest to some experts.
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17 Jul 2020
Had some great responses to an earlier question about #dimensionreduction. But because I didn't do the best job describing the question, it was hard to keep the answers together. Also, lots of smart people responded separately, so the discussion wasn't in one place. so - a THREAD
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📣The MiCM Workshop Series is going VIRTUAL!
Grab your 💻, stay 🏡 and joins us to learn about #github #precisionmedicine #DimensionReduction #Nextflow! Ready... Set... GO register! 👨💻
More info 👉 bit.ly/2M4xcVm
And STAY TUNED📺...More workshops coming this summer!
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21 Jan 2020
knime.com/blog/seven-techniq…
Algunas técnicas para reducir dimensiones en el proceso de data mining.
#DimensionReduction
#DataMining
#Analytics
#BigDataUIO
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