Clarified PCA

major review/pipeline_template.tex

@@ -123,7 +123,7 @@ \subsection{Functional Annotations}\label{sec:funcannotation}
   \item an empty function \tf{\epsilon} that applies no transformation or processing on the data;
   \item an additive function \tf{a} that expands the amount of data received, for example, by integrating data from other sources;
   \item a transformation function \tf{t} that transforms some records in the dataset without altering the domain;
-  \item a transformation function \tf{d} (out of the scope of this work) that changes the domain of the data by applying, for instance, the PCA.
+  \item a transformation function \tf{d} (out of the scope of this work) that changes the domain of the data. {\color{OurColor}An example of such a transformation could be the application of Principal Component Analysis (PCA)}.
 \end{enumerate*}
 
 For simplicity but with no loss of generality, we assume that all candidate services meet functional annotation \F{} and that \TF{}=\tf{}. As a consequence, all candidate services apply the same transformation to the data during the pipeline execution.