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Discovering knowledge from data clustering using automatically defined interval type-2 fuzzy predicates
(Pergamon-Elsevier Science Ltd., 2017-02)
In data clustering fuzzy predicates act as cluster descriptors providing linguistically expressed knowledge which indicates how features are related to each cluster. Fuzzy predicates directly and automatically obtained ...
Clustering based on rules and Knowledge Discovery in ill-structured domains
(Revista Computación y Sistemas; Vol. 1 No. 4, 1998-06-10)
Abstract. It is clear that nowadays analysis of complex systems is an important handicap for either Statistics) Artificial
Intelligence, Information Systems, Data visualization,Describing the structure or obtaining knowledge ...
Density-based clustering validation
(Society for Industrial and Applied Mathematics - SIAMPhiladelphia, 2014-04)
One of the most challenging aspects of clustering is validation, which is the objective and quantitative assessment of clustering results. A number of different relative validity criteria have been proposed for the validation ...
Persistent homology for time series and spatial data clustering
(Pergamon/ElsevierOxford, 2015-09)
Topology is the branch of mathematics that studies how objects relate to one another for their qualitative structural properties, such as connectivity and shape. In this paper, we present an approach for data clustering ...
Comparing hard and overlapping clusterings
(MicrotomeBrookline, 2015-12)
Similarity measures for comparing clusterings is an important component, e.g., of evaluating clustering algorithms, for consensus clustering, and for clustering stability assessment. These measures have been studied for ...
Improving clustering with metabolic pathway data
(BioMed Central, 2014-04)
Background: It is a common practice in bioinformatics to validate each group returned by a clustering algorithm through manual analysis, according to a-priori biological knowledge. This procedure helps finding functionally ...
The HST/ACS Coma Cluster Survey. IV. Intergalactic Globular Clusters and the Massive Globular Cluster System at the Core of the Coma Galaxy Cluster
(2011)
Intracluster stellar populations are a natural result of tidal interactions in galaxy clusters. Measuring these populations is difficult, but important for understanding the assembly of the most massive galaxies. The Coma ...
Multi-objective clustering ensemble for gene expression data analysis
(ELSEVIER SCIENCE BV, 2009)
In this paper, we present an algorithm for cluster analysis that integrates aspects from cluster ensemble and multi-objective clustering. The algorithm is based on a Pareto-based multi-objective genetic algorithm, with a ...
Open clusters in the third galactic quadrant - II. The intermediate age open clusters NGC 2425 and NGC 2635
(EDP SCIENCES, 2006-01)
We analyse CCD broad band (UBV(RI)(C)) photometric data obtained in the fields of the poorly studied open clusters NGC 2425 and NGC 2635. Both clusters are found to be of intermediate age thus increasing the population of ...