title: getting distance matrix and features matrix from word2vec model
body: <p>I have generated a word2vec model using gensim for  a huge corpus and I need to cluster the vocabularies using k means clustering for that i need:</p>
  
  <ol>
  <li>cosine distance matrix (word to word, so the size of the matrix the number_of_words x number_of_words )</li>
  <li>features matrix (word to features, so the size of the matrix is the number_of_words x number_of_features(200) )</li>
  </ol>
  
  <p>for the feature matrix i tried to use x=model.wv and I got the object type as gensim.models.keyedvectors.KeyedVectors and its much smaller than what I expected a feature matrix will be </p>
  
  <p>is there a way to use this object directly to generate the k-means clustering ?</p>