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@@ -51,12 +51,21 @@ cd math-prog/cpo-dataset/machine-learn/WDBC/
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  Ten real-valued features are computed for each cell nucleus:
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  a) radius (mean of distances from center to points on the perimeter)
 
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  b) texture (standard deviation of gray-scale values)
 
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  c) perimeter
 
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  d) area
 
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  e) smoothness (local variation in radius lengths)
 
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  f) compactness (perimeter^2 / area - 1.0)
 
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  g) concavity (severity of concave portions of the contour)
 
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  h) concave points (number of concave portions of the contour)
 
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  i) symmetry
 
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  j) fractal dimension ("coastline approximation" - 1)
 
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  Ten real-valued features are computed for each cell nucleus:
52
 
53
  a) radius (mean of distances from center to points on the perimeter)
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+
55
  b) texture (standard deviation of gray-scale values)
56
+
57
  c) perimeter
58
+
59
  d) area
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+
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  e) smoothness (local variation in radius lengths)
62
+
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  f) compactness (perimeter^2 / area - 1.0)
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+
65
  g) concavity (severity of concave portions of the contour)
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+
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  h) concave points (number of concave portions of the contour)
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+
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  i) symmetry
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+
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  j) fractal dimension ("coastline approximation" - 1)