FAUM: Fast Autonomous Unsupervised Multidimensional classification
HJ Curti, RS Wainschenker - Information Sciences, 2018 - Elsevier
Abstract This article presents Faum: Fast Autonomous Unsupervised Multidimensional, an
automatic clustering algorithm that can discover natural groupings in unlabeled data. Faum …
automatic clustering algorithm that can discover natural groupings in unlabeled data. Faum …
Exploiting cluster analysis for constructing multi-dimensional histograms on both static and evolving data
Density-based clusterization techniques are investigated as a basis for constructing
histograms in multi-dimensional scenarios, where traditional techniques fail in providing …
histograms in multi-dimensional scenarios, where traditional techniques fail in providing …
[PDF][PDF] Approximate query answering on multi-dimensional data.
C Sirangelo - 2006 - lsv.ens-cachan.fr
The multi-dimensional model represents data as a set of measure values associated to
points in a multi-dimensional space. Databases of this type are common in the context of On …
points in a multi-dimensional space. Databases of this type are common in the context of On …
[图书][B] Density-based and consensus clustering in ecology.
A Bennett - 2008 - library-archives.canada.ca
The first chapter,'Density versus hierarchy', explores the potential for density-based
clustering methods in ecology. Clustering is fundamental to pattern recognition in science …
clustering methods in ecology. Clustering is fundamental to pattern recognition in science …