Multispectral Remote Sensing Expression of Lineaments and Alteration Minerals in Part of Crystalline Rock Units of Southwestern Nigeria - Implication on Gold Prospecting
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https://doi.org/10.1016/j.oreoa.2025.100091 <-- shared paper
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#GIS #spatial #mapping #ASTER #Gold #Hydrothermal #HydrothermalAlteration #Lineament #Landsat #ETM #EnhancedThematicMapper #phyllic #Ilesha #schist #belt #geology #mining #Nigeria #naturalresources #mineral #mineralresources #golddeposits #aerogeophysical #remotesensing #geophysical #spatialanalysis #geomorphology #geomorphometry #alteration #propylitic #argillic #mineralogy #XRD #structuralgeology #lithology #PrincipalComponentAnalysis #PCA #prospecting #fracture #joints #faulting #Multispectral #Lineaments #Crystalline

https://www.youtube.com/live/HL1rBLGRf-I

Anyone know anything about the Southwest Popular/American Culture Association or its members? They're holding a conference in Albuquerque in Feb and my sister got an invite to exhibit for no fee, but she's not sure why, given that her small press (Amador Publishers) is not an academic press. Maybe they're trying to fill a few empty tables?
#SWPACA #PCA
Check out the subject areas -- is this the new Semiotics?
https://swpaca.org/subject-areas/

Heading to an #PCA #HPDE tomorrow. Maybe my swan song if the car doesn't behave.

I wrote a tool in jvarkit to manually select some samples after `plink --cluster` . https://jvarkit.readthedocs.io/en/latest/SwingPLinkSelectCluster/ #pca

My first HPDE weekend of the year this coming weekend. A little trepidation as I am only 90% or so recovered from recent abdominal surgery.

I love how PCA results differ widely depending on whether you normalise input data or not, and whether you apply it to the covariance or correlation matrix. I think figuring the correct approach out for this dataset might be a tomorrow problem. If anyone has a great go-to resource, please link me!

Speaking of the #Evangelical Movement in England. Here is a list of things accomplished by a bunch of bible-believing, Bible-thumpers at the turn of the prior century. Authentic evangelism, launching of missionary boats, **AND** all kinds of social justice reforms.

Where they be today?

#NowPlaying - post-#PCA #GratefulDead scholars' caucus decompression on my own damn couch & in kevin ayers's happy faraway place. @vinylrecords

1st day of the grateful dead caucus at #PCA is a wrap. presentations on podcasting as public history (yo!), meditations on taping & archiving (depicted, rick monture, his d5 & d6 decks), 3 *thick* papers on robert hunter's poetry (2 on "a strange music," 1 on "bride of entropy"), & paintings from steve hurlburt's "sky yellow, sun blue" project. #deadfreaksunite

Off to Chicago! Any other fediverse folks going to the Grateful Dead Studies Association conference at the PCA? I know @bourgwick will be there, anyone else? #gratefuldead #pca #academia

My new post has just landed on the Nirpy Research website!

The post is about Robust PCA (Principal Component Analysis), which is an implementation of the PCA algorithm that is robust against outliers in the dataset.

Here are the main takeaway points:

Outliers in the data can significantly distort the principal components calculated by the standard PCA algorithm.

The approach based on calculating the eigenvectors of the covariance matrix allows for a robust implementation of PCA by using a robust estimation of the covariance matrix that is less sensitive to outliers.

In #python and #ScikitLearn, the MinCovDet function can be used to make a robust estimate of the covariance matrix, which can then be used to calculate the principal components in a way that is not affected by outliers.

The standard deviation estimation itself is not robust to outliers. Therefore, for proper data scaling before #PCA, the robust standard deviation should be calculated using the covariance matrix estimated by the MinCovDet function.

Check out the post for more info and the Python code

https://nirpyresearch.com/robust-pca/

Normally I try to toot apropos gopher writing or (non-)radio shows, but tbh right now
- got clml.pca #pca working again (basically does an eigendecomposition using the BLAS but otherwise lisp-native)
- Realised Eric Sandewall published a book on (#lisp) #AI approaches in 2014, and thinking about how it relates to their writing in 1981 and me.
=_=
I only have a key for my tilde.club gopher. I guess I could squirrel phosts there.

Several Bizarre Visual Symptoms Shown to Be a Strong Predictor For Alzheimer's
https://www.sciencealert.com/several-bizarre-visual-symptoms-shown-to-be-a-strong-predictor-for-alzheimers #PosteriorCorticalAtrophy #PCA #distances #movement #identification #alzheimers

Differences in visualizing high-dimensional data with #UMAP, #tSNE and #PCA using the Collection Space Navigator
https://collection-space-navigator.github.io/
#CollectionSpaceNavigator #DataVisualization #MultidimensionalData #DimensionalityReduction #MachineLearning #OpenSource #ResearchTool @schichmax @mcanet @andreskarjus @tillmannohm