Feature/decouple projection kmeans embed explore#29
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Make projection & clustering as separate independent steps following the changes in the precalculated application. The workflow: - Embed -> extract embeddings from local images - Project to 2D -> execute dim reduction, produce x/y scatter plot, no cluster labels, nor coloring. - KMeans Clustering -> optional, adds a KMeans (k=N) column to the existing plot tabular df. As clustering became optional step, the file service modules, repartition services code are also adapted for compatibility. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Save tab changes - hide Save/Repartition controls until at least one KMeans run exists (previously warnings on click) - Add a single KMeans result selector Clustering summary changes: - Cache summary_df and representatives per kmeans_col instead of overwriting on each new KMeans run - Summary panel gets a KMeans result selector as well Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Dependency Update
Bump
cuml-cu12&cuml-cu13to stay compatible withsklearn>=1.8Feature Updates
Decoupled side bar
After projection
Save & Cluster summary disabled without clustering
Clustering
Perform multiple clusterings, label projection accordingly.
Browse cluster summary accordingly.

Save & Repartition based on specific clustering results.