#scree — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #scree, aggregated by home.social.
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I don't know if any verse in the Gospel of Quinfort describes this divinity, but if not, it's about time he writes it!
Behold, the Great Opossum of Ronka!
It's a present for a friend who likes both the Scree from FFXIV and opossums very much. :)
(Character "Great Serpent of Ronka" © Square Enix)
#FFXIV #FF14 #FinalFantasyXIV #FinalFantasy14 #FFXIV_art #Ronka #Scree #Opossum #NoAI #HumanMade #MastoArt #DigitalArt
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I don't know if any verse in the Gospel of Quinfort describes this divinity, but if not, it's about time he writes it!
Behold, the Great Opossum of Ronka!
It's a present for a friend who likes both the Scree from FFXIV and opossums very much. :)
(Character "Great Serpent of Ronka" © Square Enix)
#FFXIV #FF14 #FinalFantasyXIV #FinalFantasy14 #FFXIV_art #Ronka #Scree #Opossum
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I don't know if any verse in the Gospel of Quinfort describes this divinity, but if not, it's about time he writes it!
Behold, the Great Opossum of Ronka!
It's a present for a friend who likes both the Scree from FFXIV and opossums very much. :)
(Character "Great Serpent of Ronka" © Square Enix)
#FFXIV #FF14 #FinalFantasyXIV #FinalFantasy14 #FFXIV_art #Ronka #Scree #Opossum
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I don't know if any verse in the Gospel of Quinfort describes this divinity, but if not, it's about time he writes it!
Behold, the Great Opossum of Ronka!
It's a present for a friend who likes both the Scree from FFXIV and opossums very much. :)
(Character "Great Serpent of Ronka" © Square Enix)
#FFXIV #FF14 #FinalFantasyXIV #FinalFantasy14 #FFXIV_art #Ronka #Scree #Opossum
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Steep mountains - that dominate #FaroeIslands landscape - are of #volcanic origin. Dark layers of #basalt alternate with the softer layers of reddish #tuff - stone made up of volcanic ashes.
These steep mountainsides are called #hamar (rocky wall). At the base a collection of broken rock fragments - called #scree - can quite often be found.
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Blessed be the sacred Scree's little sibling!
The Great White Tsuchinoko from Final Fantasy XIV's New Year event says "hello"!
Drawing digitally has it's practical and logistical perks, and I like the freedom it offers me in many regards, but lately I noticed how I miss working with my polychromos. Not having to worry if I break an expensive graphic tablet if I apply too much pressure is quite nice. :blobfoxsmirk:
#FFXIV #FF14 #FFXIV_art #Scree #SerpentOfRonka #MastoArt #ColoredPencil
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Blessed be the sacred Scree's little sibling!
The Great White Tsuchinoko from Final Fantasy XIV's New Year event says "hello"!
Drawing digitally has it's practical and logistical perks, and I like the freedom it offers me in many regards, but lately I noticed how I miss working with my polychromos. Not having to worry if I break an expensive graphic tablet if I apply too much pressure is quite nice. :blobfoxsmirk:
#FFXIV #FF14 #FFXIV_art #Scree #SerpentOfRonka #MastoArt #ColoredPencil
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Blessed be the sacred Scree's little sibling!
The Great White Tsuchinoko from Final Fantasy XIV's New Year event says "hello"!
Drawing digitally has it's practical and logistical perks, and I like the freedom it offers me in many regards, but lately I noticed how I miss working with my polychromos. Not having to worry if I break an expensive graphic tablet if I apply too much pressure is quite nice. :blobfoxsmirk:
#FFXIV #FF14 #FFXIV_art #Scree #SerpentOfRonka #MastoArt #ColoredPencil
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Blessed be the sacred Scree's little sibling!
The Great White Tsuchinoko from Final Fantasy XIV's New Year event says "hello"!
Drawing digitally has it's practical and logistical perks, and I like the freedom it offers me in many regards, but lately I noticed how I miss working with my polychromos. Not having to worry if I break an expensive graphic tablet if I apply too much pressure is quite nice. :blobfoxsmirk:
#FFXIV #FF14 #FFXIV_art #Scree #SerpentOfRonka #MastoArt #ColoredPencil
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This track, fresh bread, by #Scree, is one of the most delightfully playful instrumental tracks I heard in a long while.
On #bandcamp: https://screeband.bandcamp.com/track/fresh-bread
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This track, fresh bread, by #Scree, is one of the most delightfully playful instrumental tracks I heard in a long while.
On #bandcamp: https://screeband.bandcamp.com/track/fresh-bread
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This track, fresh bread, by #Scree, is one of the most delightfully playful instrumental tracks I heard in a long while.
On #bandcamp: https://screeband.bandcamp.com/track/fresh-bread
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This track, fresh bread, by #Scree, is one of the most delightfully playful instrumental tracks I heard in a long while.
On #bandcamp: https://screeband.bandcamp.com/track/fresh-bread
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This track, fresh bread, by #Scree, is one of the most delightfully playful instrumental tracks I heard in a long while.
On #bandcamp: https://screeband.bandcamp.com/track/fresh-bread
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This week I am in Iceland. This the Kambhorn (650m) on the Stokksnes peninsular in the SE. There's apparently a path down the scree from the ridge to the beach but it looks rather steep!
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This week I am in Iceland. This the Kambhorn (650m) on the Stokksnes peninsular in the SE. There's apparently a path down the scree from the ridge to the beach but it looks rather steep!
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This week I am in Iceland. This the Kambhorn (650m) on the Stokksnes peninsular in the SE. There's apparently a path down the scree from the ridge to the beach but it looks rather steep!
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Some methods to determine the number of components or clusters in PCA or k-means clustering: https://thomasgladwin.substack.com/p/finding-the-true-number-of-components/. These at least work in the limit of ideal simulated data.
The basic rationale is to use random split-half data to identify what's "true" versus sampling error. Scores are based on similarities between eigenvectors or cluster centres, rather than, e.g., the shape of the eigenvalue plot.
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Some methods to determine the number of components or clusters in PCA or k-means clustering: https://thomasgladwin.substack.com/p/finding-the-true-number-of-components/. These at least work in the limit of ideal simulated data.
The basic rationale is to use random split-half data to identify what's "true" versus sampling error. Scores are based on similarities between eigenvectors or cluster centres, rather than, e.g., the shape of the eigenvalue plot.
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Some methods to determine the number of components or clusters in PCA or k-means clustering: https://thomasgladwin.substack.com/p/finding-the-true-number-of-components/. These at least work in the limit of ideal simulated data.
The basic rationale is to use random split-half data to identify what's "true" versus sampling error. Scores are based on similarities between eigenvectors or cluster centres, rather than, e.g., the shape of the eigenvalue plot.
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Some methods to determine the number of components or clusters in PCA or k-means clustering: https://thomasgladwin.substack.com/p/finding-the-true-number-of-components/. These at least work in the limit of ideal simulated data.
The basic rationale is to use random split-half data to identify what's "true" versus sampling error. Scores are based on similarities between eigenvectors or cluster centres, rather than, e.g., the shape of the eigenvalue plot.
-
Some methods to determine the number of components or clusters in PCA or k-means clustering: https://thomasgladwin.substack.com/p/finding-the-true-number-of-components/. These at least work in the limit of ideal simulated data.
The basic rationale is to use random split-half data to identify what's "true" versus sampling error. Scores are based on similarities between eigenvectors or cluster centres, rather than, e.g., the shape of the eigenvalue plot.