Mathematical Sciences: Clustering Algorithms
{'Code': '03040107', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}
{'SignBlockName': 'Peter Arzberger', 'PO_EMAI': None, 'PO_PHON': None}
The research will deal with the broad area of cluster                      analysis.  Cluster analysis is classification of objects in to                  groups of similar ones.  The principal investigator has been a                  pioneer in the field of cluster analysis.  He will investigate                  several statistical problems connected with clustering.  The                    major problems with the clustering algorithms are to answer the                 following four questions.  (1) How many clusters?  (2) Are the                  clusters real?  (3) Are the clusters reliable? and (4) What                     algorithms should be used.  Statistical methods will help answer                these questions.  Multivariate density estimation procedures will               be used.  Some of these techniques are used in spatial analysis                 as well.
{'FirstName': 'John', 'LastName': 'Hartigan', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'John A Hartigan', 'EmailAddress': 'hartigan@stat.yale.edu', 'NSF_ID': '000196055', 'StartDate': '08/15/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Yale University', 'CityName': 'NEW HAVEN', 'ZipCode': '065113572', 'PhoneNumber': '2037854689', 'StreetAddress': '150 MUNSON ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Connecticut', 'StateCode': 'CT', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'CT03', 'ORG_UEI_NUM': 'FL6GV84CKN57', 'ORG_LGL_BUS_NAME': 'YALE UNIV', 'ORG_PRNT_UEI_NUM': 'FL6GV84CKN57'}
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