mds & cluster analysis project
DESCRIPTION
Andrew Lexvold & Maddie Moyer. MDS & Cluster Analysis Project. Data Set. 2010 County Health Data Variables Chlamydia Rate* Teen Birth Rate* % College Degrees % High School Graduation Goal: To understand what Counties were similar with respect to these variables - PowerPoint PPT PresentationTRANSCRIPT
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MDS & Cluster Analysis ProjectAndrew Lexvold & Maddie Moyer
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Data Set• 2010 County Health Data• Variables
– Chlamydia Rate*– Teen Birth Rate*– % College Degrees– % High School Graduation
• Goal: To understand what Counties were similar with respect to these variables
*Rate is per 100,000 residents
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Classic Multidimensional Scaling(Dissimilarity Matrix)
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Additional Plot
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Single Cluster
Here you can see again there should be 4 clusters within the data set
1: Ramsey, Blue Earth, Hennepin2: Mahnomen3: Beltrami4: All Else
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Single Cluster
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Complete Cluster
Here there should be 3 Clusters
1: Beltrami, Ramsey, Blue Earth, Hennepin2: Traverse – Otter Tail3: Kandiyohi – Yellow Medicine
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Complete Cluster
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Average Cluster
Here there should be 3 Clusters for the Data Set
1: Beltrami, Ramsey, Blue Earth, Hennepin2: Kandiyohi – Olmsted3: Traverse – Le Sueur
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Average Cluster
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Cut 1 2 3Minnesota 1 1 1Aitkin 1 1 2Anoka 1 1 1Becker 1 1 2Beltrami 1 2 3Benton 1 1 1Big Stone 1 1 2Blue Earth 1 2 3Brown 1 1 2Carlton 1 1 1Carver 1 1 2Cass 1 1 1Chippewa 1 1 1Chisago 1 1 1Clay 1 1 1Clearwater 1 1 2Cook 1 1 2Cottonwood 1 1 2Crow Wing 1 1 1Dakota 1 1 1Dodge 1 1 1Douglas 1 1 2Faribault 1 1 1Fillmore 1 1 2Freeborn 1 1 1Goodhue 1 1 1Grant 1 1 2Hennepin 1 2 3Houston 1 1 2Hubbard 1 1 2Cut 1 2 3
Isanti 1 1 1Itasca 1 1 1Jackson 1 1 2Kanabec 1 1 2Kandiyohi 1 1 1Kittson 1 1 2Koochiching 1 1 1Lac qui Parle 1 1 2Lake 1 1 2Lake of the Woods 1 1 2Le Sueur 1 1 1Lincoln 1 1 2Lyon 1 1 1McLeod 1 1 1Mahnomen 1 1 1Marshall 1 1 2Martin 1 1 2Meeker 1 1 2Mille Lacs 1 1 1Morrison 1 1 2Mower 1 1 1Murray 1 1 1Nicollet 1 1 2Nobles 1 1 1Norman 1 1 2Olmsted 1 1 1Otter Tail 1 1 2Pennington 1 1 2Pine 1 1 1Pipestone 1 1 2Cut 1 2 3Polk 1 1 2
Pope 1 1 2Ramsey 1 2 3Red Lake 1 1 2Redwood 1 1 2Renville 1 1 1Rice 1 1 1Rock 1 1 2Roseau 1 1 2St. Louis 1 1 1Scott 1 1 1Sherburne 1 1 2Sibley 1 1 2Stearns 1 1 1Steele 1 1 1Stevens 1 1 2Swift 1 1 2Todd 1 1 2Traverse 1 1 2Wabasha 1 1 2Wadena 1 1 2Waseca 1 1 1Washington 1 1 1Watonwan 1 1 2Wilkin 1 1 2Winona 1 1 2Wright 1 1 2Yellow Medicine 1 1 1
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Final Conclusion• 3 Clusters of Counties
– Beltrami, Blue Earth, Hennepin, Ramsey
– Aitkin, Becker, Big Stone, Carver, Clearwater, Cook, Cottonwood, Douglas, Fillmore, Grant, Houston, Hubbard, Jackson, Kanabec, Kittson, Lac qui Parle, Lake, Lake of the Woods, Lincoln, Marshall, Martin, Meeker, Morrison, Nicollet, Norman, Otter Tail, Pennington, Pipestone, Polk, Pope, Red Lake, Redwood, Rock, Roseau, Sherburne, Sibley, Stevens, Swift, Todd, Traverse, Wabasha, Wadena, Watonwan, Wilkin, Winona, Wright
– Anoka, Benton, Carlton, Cass, Chippewa, Chisago, Clay, Crow Wing, Dakota, Dodge, Faribault, Freeborn, Goodhue, Isanti, Itasca, Kandiyohi, Koochiching, Le Sueur, Lyon, McLeod, Mahnomen, Mille Lacs, Mower, Murray, Nobles, Olmsted, Pine, Renville, Rice, St. Louis, Scott, Stearns, Steele, Waseca, Washington, Yellow Medicine