How to intrepret Clusters results after using Doc2vec?

Question

I am using doc2vec to convert the top 100 tweets of my followers in vector representation (say v1.....v100). After that I am using the vector representation to do the K-Means cl

Answer 1

These values represent the coordinates of the individual tweets (or documents) that you want to represent in a cluster. I am assuming that v1 to v100 represent the vectors for tweets 1 to 100, otherwise this won't make sense.So if suppose cluster 0 has v1,v5 and v6, this means that tweets 1, 5 and 6 with vector representation v1,v5 and v6 respectively (or the tweets with vectors v1, v5 and v6 as their representation) belong to the cluster 0.