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Among various clustering methods, subtractive clustering method is the best for the condition, where the number of clusters for a given data set is not known (Talebizadeh and Moridnejad 2011).
To overcome such problems, Panella et al. [24] analysed various clustering methods adopting for ANFIS, including clustering in input space, clustering in output space and clustering in input output space (conjunct space) [26].
In a later study [6], the authors proposed various clustering methods to decrease the problem size and find the optimal configuration of each cluster by the minimum spanning tree (MST) algorithm.
Additionally, we evaluated the effectiveness and robustness of 50K autosomal SNPs with various clustering methods, along with their dependencies on recombination hotspots (RH), linkage disequilibrium (LD), missing calls and regional specific markers.
GO enrichment has been widely used to assess whether gene sets defined by various clustering methods appear to be significantly related to one another functionally.
So far the identification of specific patterns has been achieved mostly by application of various clustering methods [ 2- 8], where all gene expression time series (profiles) were classified into disjoint groups according to a predefined distance metric.
Similar(45)
Among the various sequence clustering methods in literature, hierarchical and graph-based approaches have been widely used.
We apply various classification and clustering methods to analyze the performance of our new similarity measurement.
In most cases, the computation algorithms used in data mining include various kinds of clustering methods, correlations, neural networks, self-organizing maps.
Various matrix permutation algorithms and clustering methods with validation indices are implemented for extracting embedded information.
The evaluation and comparison between various gene pairwise similarities and clustering methods will be interesting to explore in the future.
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