ature vector as indexed feature vector representation (like from Spark MLlib Count Vectorizer)</p></dd><dt class="param">dfB</dt><dd class="cmt"><p>second dataframe to compare entries from dataframe dfA. formetting needed as in dfA</p></dd><dt class="param">threshold</dt><dd class="cmt"><p>threshold for minimal distance or similarity final dataframe is filtered for</p></dd><dt class="param">valueColumn</dt><dd class="cmt"><p>column name of the resulting similarity/distance column name</p></dd><dt>returns</d