PCA reduces the four Iris measurements to three principal components. Here those components become wave frequencies - a literal sonification of dimensionality reduction. The interference patterns reveal geometric relationships invisible in the raw data.

Each flower's PCA scores define a unique waveform. Pairwise multiplication produces Chladni-like patterns where nodal lines (dark regions) indicate phase opposition. The cutoff threshold controls which correlations surface.

Pick three flowers, watch them oscillate, see what patterns emerge when they interfere. The classic Iris dataset, reimagined as an audiovisual toy.