%0 Journal Article %1 hartigan-direct-clustering-data-1972 %A Hartigan, J. A. %D 1972 %I American Statistical Association %J Journal of the American Statistical Association %K biclustering clustering %N 337 %P 123--129 %R 10.2307/2284710 %T Direct Clustering of a Data Matrix %U http://dx.doi.org/10.2307/2284710 %V 67 %X Clustering algorithms are now in widespread use for sorting heterogeneous data into homogeneous blocks. If the data consist of a number of variables taking values over a number of cases, these algorithms may be used either to construct clusters of variables (using, say, correlation as a measure of distance between variables) or clusters of cases. This article presents a model, and a technique, for clustering cases and variables simultaneously. The principal advantage in this approach is the direct interpretation of the clusters on the data.

@article{hartigan-direct-clustering-data-1972, abstract = {{Clustering algorithms are now in widespread use for sorting heterogeneous data into homogeneous blocks. If the data consist of a number of variables taking values over a number of cases, these algorithms may be used either to construct clusters of variables (using, say, correlation as a measure of distance between variables) or clusters of cases. This article presents a model, and a technique, for clustering cases and variables simultaneously. The principal advantage in this approach is the direct interpretation of the clusters on the data.}}, added-at = {2011-10-20T15:53:06.000+0200}, author = {Hartigan, J. A.}, biburl = {https://www.bibsonomy.org/bibtex/210d3765e07cfc30c5c6a6fa6007497a9/mhwombat}, citeulike-article-id = {3519125}, citeulike-linkout-0 = {http://dx.doi.org/10.2307/2284710}, citeulike-linkout-1 = {http://www.jstor.org/stable/2284710}, doi = {10.2307/2284710}, interhash = {87e815a20af852b0bac67e4c12e3a85f}, intrahash = {10d3765e07cfc30c5c6a6fa6007497a9}, issn = {01621459}, journal = {Journal of the American Statistical Association}, keywords = {biclustering clustering}, number = 337, pages = {123--129}, posted-at = {2008-11-15 17:20:45}, priority = {2}, publisher = {American Statistical Association}, timestamp = {2016-07-12T19:25:30.000+0200}, title = {{Direct Clustering of a Data Matrix}}, url = {http://dx.doi.org/10.2307/2284710}, volume = 67, year = 1972 }