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Principal component representation of k-means clustering of daily

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Download scientific diagram | Principal component representation of k-means clustering of daily gaping curves (a & b) and pattern of gaping for each cluster centroid (c & d). With respect to locations, a & c refer to Venice Lagoon while b & d refer to Wadden Sea. Colours of each cluster in the principal component representation are matching the colours of their pattern representation. from publication: Using a clustering algorithm to identify patterns of valve-gaping behaviour in mussels reared under different environmental conditions | Physiological adaptations for inhabiting transitional environments with strongly variable abiotic conditions can sometimes be displayed as behavioural shifts. A striking example might be found in bivalve species that inhabit estuaries characterised by fluctuations in | Bivalvia, Mussel and Bivalves | ResearchGate, the professional network for scientists.

Using a clustering algorithm to identify patterns of valve-gaping

Jacob CAPELLE, Researcher, PhD

K-means and PCA for Image Clustering: a Visual Analysis

What is Principal Component Analysis?

K-means clustering algorithms: A comprehensive review, variants

Edouard ROYER, Research Engineer

Camilla BERTOLINI, PostDoc Position, BSc, PhD

Roberto PASTRES, Università Ca' Foscari Venezia, Venice

Camilla BERTOLINI, PostDoc Position, BSc, PhD

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