Recent content by berlyda

⚠️ IMPORTANT ⚠️ If you have already sent your entry for NSC 228, please re-send it to me! @Schlagerman1 @Territrius @Looren @Morty @pjelacki @Milos-BC @nofuxCZ @renzo @Yoni @spiluke @Sean @Sabrewulf238 @VasilijeM @doctormalisimo @Barish @Lonter @HayashiM @pyryniemi @Scania @Fierro @randajad...

NSC 228 - Confirmations The NSC mod team would like to welcome you to Halito, Trollheimr, and Rahasia-Diati for NSC 228! Since our nations are at opposite ends of the globe, confirmations will be held in neutral territory, aboard the ISS Zaprya, the historic first module of the International...

Could you please share a version that includes the names of the Semi 2 voters? EDIT: Luke has told me that something happened with that particular workbook, but he can probably salvage it from the edit history on the Excel file. He will fix it but is not able to do so today. (Just in case...

The rules are pretty clear on this, I'm afraid. If votes are not received by the stated deadline, then the host has the right to reject them. Even with the ambiguity regarding CET vs CEST, it is the hosts who have the final decision regarding how such ambiguities are handled. So it is up to the...

Ah, this is where your confusion is coming from. Kaliningrad time is the same as CET right now, because Europe moves their clocks 1 hour forward in spring but Russia does not.

@Buranovskiy can you invite the mod team (Stargazer, Veronika, and I) to the conversation in which your votes were sent? That's probably the best way to independently verify this.

Congrats to the qualifiers xcheer @Luke were Zombira's votes counted in the end?

@dogmeat I just came across a nice way of doing this today, if you're interested: https://scikit-learn.org/stable/modules/generated/sklearn.manifold.MDS.html#sklearn.manifold.MDS You can use the MDS class in scikit-learn to generate a 2-dimensional representation of the similarity data in...

I know you say you've made up your mind, but I hope you reconsider. I would hate to see you go just because of one member and a faulty notification system. You are very welcome in NSC, and even though you missed the deadline this time, you are still in the roster and can participate in the next...

That would leave space for 50 new nations, what an incredible solution! It would totally clear the WL and we would have room for 47 more! In completely unrelated news, ::hal has decided that we liked the name Hielito so much when it was temporarily adopted back in NSC 156 that we have decided...

I guess you could still generate the graphs using the old method, and then add colours according to the new method? Or alternatively there are Python libraries for visualising clusters via scatter plots, but you'd need to figure out a good way of representing the 60-dimensional vectors in 2...

Yeah, I agree with this. Due to the historical ambiguity in how this rule has been applied over the years, the host team should decide whether Afnia debuts. And just to reiterate, we're trying to avoid these kinds of last-minute polls. In this kind of situation, either the rule is applied as it...

That's awesome :D Btw I think there are also variations of the algorithm that guarantee the clusters have roughly equal size, but idk if there are nice Python libraries for that.

Have you considered a more methodical approach to this step, e.g. k-means clustering? Each nation's set of voting similarities is essentially a 60-dimensional vector. You could feed these vectors into a k-means clustering algorithm with k=6 and it will group the vectors (i.e. nations) into 6...

Could you try putting me as the first recipient? I've heard the order matters sometimes