Notes Week 34, 2024
- 2024-08-19
- Worked through three 8/16/32 clustering attempts and labeled
the clusters. To that end I made a little script that takes some
random samples from each cluster. Then I manually checked the
samples and tried to summarize some formal and semantic aspects.
Usually the formal clustering dominated.
- Re-released the cleaned dataset under new name, “Video Game
History Dataset” (VHS-D). Run into
problems with git lfs, and then into problems with releasing on
Zenodo. This gave me the opportunity to release a cleaner state
of the dataset.
- Distant viewing image clusters as generous interfaces.
- Researching more literature to backbone the image clustering
paper.
- 2024-08-20
- Went again through the 8 and 32 clusters and described and
labeled them in a more structural approach. Went once through
the 128 cluster and made a quick summary of each, and picked
those that are of interest. The overall trajectory is from
roughly formal clusterings into clear formal elements and
semantic clusterings. I also picked a few interesting clusters
from the 1228 set to use in the paper.
- isometric 6, 15, 92
- horrorcore 12
- boxing 23
- nsfw 26, 102, 119
- I like this approach of generating subsamples and analyze
those in different configurations. Maybe that could find it’s
place in the paper?
- Some clusters are mirroring genre through formal aspects, eg
graphic adventures, flight simulators or team sports games. Some
others by semanto-formal aspects, eg boxing (23), where
perspective can change from 3/4 to POV, but the elements of
boxing gloves and ring-ropes stay. Some formal aspects
transverse genre, such as street settings (42, 117, 122)
- 2024-08-21
- 2024-08-22