Can KMeans clustering be used on word2vec output? I have a dataset that has been trained on word2vec. Is it a good idea to cluster the output vectors?.
It's totally fine to cluster word2vec output to know semantically similar words. KMeans is an option, you might also want to checkout some approximate neighbor scheme such as Locality Sensitive Hashing.