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Fig. 3 | BMC Medical Informatics and Decision Making

Fig. 3

From: Histopathological distinction of non-invasive and invasive bladder cancers using machine learning approaches

Fig. 3

Clustering analysis of extracted features from Ta (non-invasive) and T1 (invasive) tumor images. The features were first selected by PCA and then clustered using k-means analysis. Plots were made for the first and second components of PCA output (a), which were clustered with k = 2 (c). Plots were also made for the first and third components of PCA output (b), which were clustered with k = 9 (d)

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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