9. A method for displaying clusters, comprising: generating a plurality of clusters, which each comprise one or more documents and identifying concepts for the clusters based on the documents; selecting the cluster concepts that satisfy an acceptance criteria and forming spines from the clusters associated therewith; assigning at least one of the remaining clusters to one of the spines, which provides a best fit with the cluster concepts for that cluster; placing one or more of the spines into a display, wherein each placed spine is unique; identifying an anchor cluster with an open edge on at least one of the placed spines; and placing one or more of the spines not already in the display, comprising: determining a similarity between the non-placed spine and each anchor cluster and selecting the anchor cluster most similar; and setting the non-placed spine on the open edge of the anchor cluster.
9. A method for displaying clusters, comprising: generating a plurality of clusters, which each comprise one or more documents and identifying concepts for the clusters based on the documents; selecting the cluster concepts that satisfy an acceptance criteria and forming spines from the clusters associated therewith; assigning at least one of the remaining clusters to one of the spines, which provides a best fit with the cluster concepts for that cluster; placing one or more of the spines into a display, wherein each placed spine is unique; identifying an anchor cluster with an open edge on at least one of the placed spines; and placing one or more of the spines not already in the display, comprising: determining a similarity between the non-placed spine and each anchor cluster and selecting the anchor cluster most similar; and setting the non-placed spine on the open edge of the anchor cluster. 12. A method according to claim 9 , further comprising: determining the anchor cluster most similar based on at least one of a cosine value concept vector, maximum bounds, minimum bounds, and median bounds.