Further, BoW V computes inverse cluster frequency of each clus-ter (icf) by averaging the idf values of its member terms to capture the importance of words in the corpus.
boW V does hard clustering using K-means algorithm, assigning each word to only one cluster or semantic topic but a word can belong to multiple topics.