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	STUDIA INFORMATICA - Issue no. 4 / 2012

	Article:	PHONEMES VERSUS GEOMETRIC PROPERTIES IN CLUSTERING OF POEMS. Authors: MIHAIELA LUPEA, DOINA TĂTAR.


	Abstract: This paper discusses the comparison between two kinds of features in clustering of some literary poems by the same author, the Romanian poet, Mihai Eminescu. Using Precision, Recall, Rand Index, Relative Precision and Purity measures we conclude that the topics of poems are better characterized by the phonemes as features than by geometric properties (described by six indicators: V / N; A; Ʌ; V ar(Ʌ); Gini; V ar(Gini)) of the rank-frequency sequence of word forms. Key words and phrases. clustering, Rand Index, purity, phonemes.




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