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These may come with their own problems which may be classification errors and long processing times.
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A further limitation may be the classification system used.
This may be because classification happens within each gene cluster and collaborative efforts among main factors have already been captured by clustering.
Second, there may have been classification errors for the predicted variable.
Considering that the parameters may be heterogeneous, a classification method using dimension reduction is proposed.
It is an important step that may be launched before classification to eliminate irrelevant variables.
Soft Independent Modelling of Class Analogy and Response Surface Analysis showed that growth responses or growth profiles may be used as classification tool.
The MMN is expected to occur approximately 100 250 ms from stimulus onset [36]; however, other information in the ERP waveforms may be useful for classification.
These simplified methods may be appropriate for classification and intervention studies, although caution should be employed when considering interventional studies where blood flow and extraction could change.
Feature selection selects an optimal subset of features, removing redundant and irrelevant features that may be detrimental to classification performance, or result in over-fitting [28].
The authors concluded, however, that the models based on the average of chemist estimations may be useful for classification of molecules.
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