Add t-SNE usage note for modulation-by-SNR sweeps

README.md

@@ -30,6 +30,6 @@ Interactive lab for exploring **LWM spectrogram embeddings** on Sub-6 GHz I/Q ba
 
 ## Tab Cheat Sheet
 - **Spectrograms:** Inspect raw 128×128 Sub-6 GHz I/Q baseband spectrograms per technology/SNR/modulation/mobility before feature extraction.
-- **t-SNE Analysis:** Recreate the SNR-ordered scatter plots from `plot/plot_tsne.py` with balanced sampling across SNRs.
+- **t-SNE Analysis:** Recreate the SNR-ordered scatter plots from `plot/plot_tsne.py` with balanced sampling across SNRs. Example: hold SNR fixed and color by modulation to see how modulation clusters separate (or collapse) as SNR changes.
 - **Modulation Classification:** Benchmark a lightweight k-NN probe on LWM embeddings vs. raw inputs for each technology.
 - **Joint SNR/Doppler Evaluation:** Compare cached MoE embeddings and raw spectrograms on the 14-way SNR/mobility task.