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. 2020 Oct 15;16(10):e1008228. doi: 10.1371/journal.pcbi.1008228

Fig 2. Comparison between dimensionality reduction and manifold learning algorithms.

Fig 2

Isolation calls from 12 juvenile Egyptian fruit bats, where spectrograms of vocalizations are projected into two dimensions in (A) PCA, (B) MDS, (C) t-SNE, and (D) UMAP. In each panel, each point in the scatterplot corresponds to a single isolation call. The color of each point corresponds to the ID of the caller. The frame of each panel is a spectrogram of an example syllable, pointing to where that syllable lies in the projection.