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However, SOFM is not a clustering method because it is seldom possible to interpret clusters from the output of an SOFM, irrespective of its size and dimensionality.
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The same limitation applies to interpret cluster 35.
Thus, interpreting clusters of sequenced individuals based on polymorphisms as character states should be done with caution and only in comparison to the standard analysis of polymorphisms as ambiguities.
Here interpreting clustering of documents to represent model cluster and bayesian probabilistic approach of assignment of document to a model cluster as described in [143] are relevant.
Here interpreting clustering of documents for representing model cluster and Bayesian probabilistic approach [142] of assignment of document to a model cluster as has described in [143] are relevant.
The aim of this work is to analyze and explain this issue through a real case study involving transcriptomic and metabolomic data, since it might have an important impact when interpreting clustering results over a biological dataset.
Here interpreting clustering of documents to represent model cluster and bayesian probabilistic approach of assignment of document to a model cluster as described in [143] are relevant Step 6: The classifier policy path is detected from this structure by application of Q Learning algorithm for learning provenance path as described in an earlier section.
This analytic approach was used due to the challenge of interpreting clustering results when more than one covariate was included.
It is common practice to use different clustering methods and use a priori biological knowledge to interpret the clusters, but computational cluster validation is needed to validate results without prior knowledge for unsupervised classification.
While it is possible to apply a cluster analysis to all genes in this dataset, we instead preferred to interpret gene clusters within the context of literature-supported biological pathways.
A higher value for this parameter would lead to interpret several clusters as being the same.
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