A Cluster Separation Measure Export

@article{citeulike:4173429, abstract = {A measure is presented which indicates the similarity of clusters which are assumed to have a data density which is a decreasing function of distance from a vector characteristic of the cluster. The measure can be used to infer the appropriateness of data partitions and can therefore be used to compare relative appropriateness of various divisions of the data. The measure does not depend on either the number of clusters analyzed nor the method of partitioning of the data and can be used to guide a cluster seeking algorithm.}, author = {Davies, David L. and Bouldin, Donald W.}, booktitle = {Pattern Analysis and Machine Intelligence, IEEE Transactions on}, citeulike-article-id = {4173429}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/TPAMI.1979.4766909}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4766909}, day = {27}, doi = {10.1109/TPAMI.1979.4766909}, journal = {Pattern Analysis and Machine Intelligence, IEEE Transactions on}, keywords = {clustering, measure}, month = {January}, number = {2}, pages = {224--227}, posted-at = {2009-11-10 23:17:02}, priority = {2}, title = {A Cluster Separation Measure}, url = {http://dx.doi.org/10.1109/TPAMI.1979.4766909}, volume = {PAMI-1}, year = {2009} }

TY - JOUR ID - citeulike:4173429 L3 - citeulike-article-id:4173429 N2 - A measure is presented which indicates the similarity of clusters which are assumed to have a data density which is a decreasing function of distance from a vector characteristic of the cluster. The measure can be used to infer the appropriateness of data partitions and can therefore be used to compare relative appropriateness of various divisions of the data. The measure does not depend on either the number of clusters analyzed nor the method of partitioning of the data and can be used to guide a cluster seeking algorithm. IS - 2 JF - Pattern Analysis and Machine Intelligence, IEEE Transactions on EP - 227 TI - A Cluster Separation Measure VL - PAMI-1 T2 - Pattern Analysis and Machine Intelligence, IEEE Transactions on SP - 224 KW - clustering KW - measure AU - Davies, David AU - Bouldin, Donald PY - 2009/01/27/ UR - http://dx.doi.org/10.1109/TPAMI.1979.4766909 ER -