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Implement event handler functions for heatmap, K-Means, cluster plot, and naming events; refactor main.js to use these handlers.
ping98kf2e1fb8 -
Add search cluster sorting mode; implement dropdown for selecting sorting criteria in heatmap functionality.
ping98kf92828b -
Enhance heatmap button functionality; add progress bar updates to indicate processing stages.
ping98k8ecd0da -
Update button labels for clarity; change 'Naming Cluster' to 'Generate Name' and 'Similarity Heatmap' to 'Similarity'.
ping98k5b3199c -
Add cluster plot functionality; implement event handler for cluster plot button and update textarea with cluster names.
ping98k5db51e7 -
Enhance heatmap functionality; reorder clusters based on similarity to search cluster and update axis labels accordingly.
ping98k6d1e26e -
Enhance cluster naming functionality; store traces globally for UMAP scatter plot updates and ensure proper legend updates with new cluster names.
ping98k676c755 -
Update page title and enhance cluster naming functionality; change title to "Text Embedding Playground" and implement cluster naming button with progress indication.
ping98k160fe8b -
Refactor balanced K-Means implementation; update beta parameter default value, handle empty embeddings, and ensure proper centroid updates. Enhance UI to include beta input and adjust event handler to read beta value for clustering.
ping98k65b6e6f -
Implement balanced K-Means clustering; add new clustering type option in UI and update event handler to support balanced K-Means functionality.
ping98k3f8e7a3 -
Enhance cluster naming and K-Means functionality; implement random selection for cluster names, improve centroid initialization, and adjust UMAP parameters for better projection accuracy.
ping98k935873d -
Update UMAP configuration to improve clustering accuracy by adjusting minDist and adding metric parameter
ping98kaaffa94 -
Rename heatmap button ID for consistency and update event handler references in main.js
ping98kf59a4a2 -
Refactor K-Means clustering implementation; modularize embedding and clustering logic, enhance heatmap and scatter plot functions, and improve cluster naming process.
ping98k12c4198 -
Refactor K-Means clustering code for improved readability and performance; streamline cluster name generation and enhance progress bar updates
ping98k46bbd3d -
Refactor K-Means input handling to exclude cluster header lines and adjust heatmap margin settings for improved layout
ping98kaa85324 -
Add cluster name extraction for heatmap axis labels in K-Means clustering
ping98kc305ab2 -
Reduce K-Means iteration count from 200 to 100; adjust UMAP neighbor calculation for improved clustering performance
ping98k34e0278 -
Enhance K-Means clustering functionality by refining input handling and increasing iteration count; update output format to include cluster names as headers.
ping98k0e793c9 -
Add prompt cluster logic for summarizing multiple sentences into concise phrases
ping98k87be6a3 -
Update K-Means input range and enhance cluster name extraction logic for improved accuracy
ping98kef7c02e -
Initialize textarea with random sentences and update K-Means clustering message format for improved clarity
ping98kfe3f9fe -
Refine cluster name extraction in K-Means implementation to handle special tokens and improve naming accuracy
ping98k00182d4 -
Update initial input values in textarea and enhance K-Means clustering visualization with improved plot width and legend positioning
ping98k0adca4d -
Add initial scatter plot with placeholder names for K-Means clustering results
ping98kee4ca8c -
move to main
ping98kf08e6a1