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A Statistical Procedure for Cluster Recognition with Application to Atlanta Leukemia‐Lymphoma Data
Author(s) -
Rosenbaum D. M.,
Kleitman D. J.,
Saks M. E.
Publication year - 1983
Publication title -
studies in applied mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.164
H-Index - 46
eISSN - 1467-9590
pISSN - 0022-2526
DOI - 10.1002/sapm198368161
Subject(s) - atlanta , cluster analysis , multiple myeloma , data set , lymphoma , cluster (spacecraft) , multivariable calculus , leukemia , computer science , incidence (geometry) , data mining , pattern recognition (psychology) , mathematics , artificial intelligence , medicine , pathology , engineering , geometry , programming language , metropolitan area , control engineering
This paper contains a description of a simple technique for analyzing a multivariable data set to detect significant clustering of data points. The method is illustrated by application to geographic leukemia and lymphoma incidence data in the Atlanta and Providence areas. Unusual clustering patterns are observed for myeloma cases when compared with those of other lymphomas.