Percept Variance, Subadditivity and the Metric Classification of Similarity, and Dissimilarity Data Export

@article{MacKay2004, abstract = {Percept variance is shown to change the additive property of city-block distances and make city-block distances more subadditive than Euclidean distances. Failure to account for percept variance will result in the misclassification of city-block data as Euclidean. A maximum likelihood estimation procedure is proposed for the multidimensional scaling of similarity data characterized by percept variance. Monte Carlo and empirical experiments are used to evaluate the proposed approach.}, author = {Mackay, David B. and Lilly, Bryan}, citeulike-article-id = {1719980}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/s00357-004-0016-x}, day = {1}, doi = {10.1007/s00357-004-0016-x}, journal = {Journal of Classification}, keywords = {integral, similarity}, number = {2}, pages = {185--206}, posted-at = {2007-10-02 16:51:04}, priority = {5}, title = {Percept Variance, Subadditivity and the Metric Classification of Similarity, and Dissimilarity Data}, url = {http://dx.doi.org/10.1007/s00357-004-0016-x}, volume = {21}, year = {2004} }

TY - JOUR ID - MacKay2004 L3 - citeulike-article-id:1719980 N2 - Percept variance is shown to change the additive property of city-block distances and make city-block distances more subadditive than Euclidean distances. Failure to account for percept variance will result in the misclassification of city-block data as Euclidean. A maximum likelihood estimation procedure is proposed for the multidimensional scaling of similarity data characterized by percept variance. Monte Carlo and empirical experiments are used to evaluate the proposed approach. IS - 2 JF - Journal of Classification EP - 206 TI - Percept Variance, Subadditivity and the Metric Classification of Similarity, and Dissimilarity Data VL - 21 SP - 185 KW - integral KW - similarity AU - Mackay, David AU - Lilly, Bryan PY - 2004//01/ UR - http://dx.doi.org/10.1007/s00357-004-0016-x ER -