00000ctm a22000004i 4500 UP-99796217612562384 Buklod 20170809165846.0 m |o d | ta 170809s xx d r |||| u| (iLib)UPD-00343311433 DSTC rda eng DMLUC LG 995 2017 S8 V53 Vicente, Al Constantin B. author. Profiling common practice period western art music through traditional music analysis and statistical methods by Al Constantin B. Vicente. 116 leaves illustrations text rdacontent unmediated rdamedia volume rdacarrier May 2017. Thesis (M.S. Statistics)--University of the Philippines, Diliman. Abstract (Western art music of the Common Practice Period (1700-1900) have traditionally been divided into three - Baroque, Classical, and Romantic. This paper aims to define metrics to characterize classical music and to identify profile the music based on the aforementioned characteristics, and to provide evidence for musical groupings other than the three periods mentioned above. A sample of forty-five pieces spanning the three periods was used. Both hierarchical and partitioning algorithms were applied so that the music maybe grouped based on the metrics. Two profiling methods were developed; the first method formed eight clusters representing classical music styles/forms of the time. The second method, using a subset of the variables, formed six clusters from using the variables of dynamics, tempo, and modulations. Unsupervised learning. Hierarchical clustering. Classic music. FI UP UPD DSTC LG 995 2017 S8 V53 Thesis