  We propose a method to improve image clustering using sparse text and the
wisdom of the crowds. In particular, we present a method to fuse two different
kinds of document features, image and text features, and use a common
dictionary or "wisdom of the crowds" as the connection between the two
different kinds of documents. With the proposed fusion matrix, we use topic
modeling via non-negative matrix factorization to cluster documents.
