Cluster analysis of infrared spectra of rabbit cortical bone samples during maturation and growth

Bone consists of an organic and an inorganic matrix. During development, bone undergoes changes in its composition and structure. In this study we apply three different cluster analysis algorithms [K-means (KM), fuzzy C-means (FCM) and hierarchical clustering (HCA)], and discriminant analysis (DA) o...

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Veröffentlicht in:	Analyst (London) 2010-12, Vol.135 (12), p.3147-3155
Hauptverfasser:	KOBRINA, Yevgeniya, TURUNEN, Mikael J, SAARAKKALA, Simo, JURVELIN, Jukka S, HAUTA-KASARI, Markku, ISAKSSON, Hanna
Format:	Artikel
Sprache:	eng
Schlagworte:	Analytical chemistry Animals Bone and Bones - anatomy & histology Bone and Bones - chemistry Bone and Bones - physiology Chemistry Cluster Analysis Discriminant Analysis Exact sciences and technology Microscopy - methods Rabbits Reproducibility of Results Spectrometric and optical methods Spectrophotometry, Infrared - methods Spectroscopy, Fourier Transform Infrared - methods
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