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-Means: A new generalized k-means clustering algorithm
Pattern Recognition Letters, 2003Summary: This paper presents a generalized version of the conventional \(k\)-means clustering algorithm. Not only is this new one applicable to ellipse-shaped data clusters without dead-unit problem, but also performs correct clustering without pre-assigning the exact cluster number.
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General C-means clustering model
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005Partitional clustering is an important part of cluster analysis. Based on various theories, numerous clustering algorithms have been developed, and new clustering algorithms continue to appear in the literature. It is known that Occam's razor plays a pivotal role in data-based models, and partitional clustering is categorized as a data-based model ...
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LANGUAGE GENERATING BY MEANS OF MEMBRANE SYSTEMS
2004Summary: We survey the results concerning the generative power of membrane systems (\(P\) systems) with objects described by strings processed by rewriting, splicing, rewriting with replication, as well as by genome specific operations such as replication, splitting, point mutation (actually, rewriting), and crossover.
Carlos MartÃn-Vide, Gheorghe Paun
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Generalized Change and the Meaning of Rationality Postulates
Studia Logica, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Generalizing the Generalized Mean-Value Theorem
The American Mathematical Monthly, 1981(1981). Generalizing the Generalized Mean-Value Theorem. The American Mathematical Monthly: Vol. 88, No. 7, pp. 528-530.
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Generalized abstracted mean values
2000Some properties of the well-known Gini means are proved.
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