interpreting the sum of TF-IDF scores of words across documents
hi guys! after doing a clustering on a list of documents with the k-means, I would like to analyze the words in each cluster (in order to correlate them with other attributes). About this I added up the value of tf-idf for each words, but I think that this solution can be wrong. Could it be more correct to use term frequency? Thnaks in advice.