The clustering of Raman spectra of serum sample from cancer patients is analyzed.
The super-paramagnetic clustering (SPC) method to classify Raman spectra is proposed.
By identifying the most natural clusters, SPC method allows discriminating the control and cancer patients.
In leukemia case, SPC detects a hierarchical structure allowing the identification of the patient leukemia type.
The goal of this study is to apply a model of statistical physics to classify spectra allowing the design of a cancer detection method.