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Oznake: computer science;machine learning;clustering
As clustering methods are often sensitive to parameter tuning, obtaining stability in clustering results is an important task. In this work, we aim at improving clustering stability by attempting to diminish the influence of algorithmic inconsistencies and enhance the signal that comes from the data ...
Leto: 2009 Vir: videolectures.net
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Oznake: computer science;data mining;knowledge extraction
KDD provides the premier forum for advancement and adoption of the “science” of knowledge discovery and data mining. KDD encourages: #Research in KDD (through annual research conferences, newsletter and other related activities) #Adoption of “standards” in the market in terms of terminology, evalua ...
Leto: 2013 Vir: videolectures.net
Št. zadetkov: 3
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