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Fig. 2 | BMC Infectious Diseases

Fig. 2

From: Development of diagnostic algorithm using machine learning for distinguishing between active tuberculosis and latent tuberculosis infection

Fig. 2

Clustering and dimension reduction analysis based on laboratory data of ATB patients and LTBI individuals. A Tree and leaf plots showing the clustering on the basis of laboratory data. B The plot showing PCA dimension reduction based on laboratory data. The size of the circle represents the cos2. C The plot showing UMAP dimension reduction based on laboratory data. D The plot showing tSNE dimension reduction based on laboratory data. ATB: active tuberculosis; LTBI: latent tuberculosis infection; PCA: principal components analysis; tSNE: t-distributed stochastic neighbor embedding; UMAP: uniform manifold approximation and projection

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BMC Infectious Diseases

ISSN: 1471-2334

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