Studies are constantly being conducted on the elaboration of efficient methods to confirm the compatibility of active pharmaceutical ingredients (APIs) and excipients, since medicinal products, apart from their APIs, also contain numerous excipients that not only have important functions in pharmaceutical preparations but can also initiate or participate in interactions with drug substances, which eventually lead to a decline in drug quality. With this in mind, research was undertaken to evaluate two of the most often applied pattern recognition methods, hierarchical cluster analysis (HCA) and principal component analysis (PCA), as supporting techniques in the identification of potential physicochemical interactions that may occur during the preformulation of solid dosage forms. The investigation performed with the use of baclofen and selected excipients has shown that with thermogravimetric analysis, HCA and PCA fulfill their role as supporting techniques in the interpretation of the data obtained. Based on these methods, it is possible to detect incompatibilities between baclofen and excipients, and the data obtained concur strongly with the results of differential scanning calorimetry and IR spectrometry analyses.