{"publishers": ["Springer"], "languages": [{"key": "/l/eng"}], "subtitle": "Theory and Applications (Springer Series in Statistics)", "source_records": ["amazon:0387251502:23:519063344:226091", "marc:marc_loc_updates/v36.i10.records.utf8:24052792:1216"], "title": "Modern Multidimensional Scaling", "number_of_pages": 614, "created": {"type": "/type/datetime", "value": "2008-04-29T13:35:46.876380"}, "isbn_13": ["9780387251509"], "authors": [{"key": "/a/OL537471A"}, {"key": "/a/OL639496A"}], "isbn_10": ["0387251502"], "publish_date": "August 4, 2005", "key": "/b/OL7444768M", "last_modified": {"type": "/type/datetime", "value": "2009-05-05T13:00:32.329461"}, "latest_revision": 2, "type": {"key": "/type/edition"}, "id": 10136385, "first_sentence": {"type": "/type/text", "value": "Multidimensional scaling (MDS) is a method that represents measurements of similarity (or dissimilarity) among pairs of objects as distances between points of a low-dimensional multidimensional space."}, "revision": 2}