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We aimed to identify cognitive subtypes in four large AD cohorts using a data\u2010driven clustering approach.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      We included probable AD dementia patients from the Amsterdam Dementia Cohort (\n                      <jats:italic>n<\/jats:italic>\n                      \u00a0=\u00a0496), Alzheimer's Disease Neuroimaging Initiative (\n                      <jats:italic>n<\/jats:italic>\n                      \u00a0=\u00a0376), German Dementia Competence Network (\n                      <jats:italic>n<\/jats:italic>\n                      \u00a0=\u00a0521), and University of California, San Francisco (\n                      <jats:italic>n<\/jats:italic>\n                      \u00a0=\u00a0589). Neuropsychological data were clustered using nonnegative matrix factorization. We explored clinical and neurobiological characteristics of identified clusters.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      In each cohort, a two\u2010clusters solution best fitted the data (cophenetic correlation &gt;0.9): one cluster was memory\u2010impaired and the other relatively memory spared. Pooled analyses showed that the memory\u2010spared clusters (29%\u201352% of patients) were younger, more often apolipoprotein E (\n                      <jats:italic>APOE<\/jats:italic>\n                      ) \u025b4 negative, and had more severe posterior atrophy compared with the memory\u2010impaired clusters (all\n                      <jats:italic>P<\/jats:italic>\n                      \u00a0&lt;\u00a0.05).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>We could identify two robust cognitive clusters in four independent large cohorts with distinct clinical characteristics.<\/jats:p>\n                  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