WisconsinDiagnosticBreastCancer Class |
Namespace: Accord.DataSets
The WisconsinDiagnosticBreastCancer type exposes the following members.
Name | Description | |
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WisconsinDiagnosticBreastCancer |
Prepares the Wisconsin's (Diagnostic) Breast Cancer dataset.
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Name | Description | |
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ClassLabels |
Gets the class labels associated with each instance
in Wisconsin's Breast Cancer dataset.
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ClassNames |
Gets the class labels in Wisconsin's (Diagnostic) Breast Cancer dataset.
"Benign", "Malignant".
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Features |
Gets the data instance features contained in Wisconsin's Breast Cancer dataset.
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InstanceIds |
Gets identifiers for each of the instances contained in Wisconsin's Breast Cancer dataset.
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VariableNames |
Gets the variable names in Wisconsin's Breast Cancer dataset:
"radius" (mean of distances from center to points on the perimeter),
"texture" (standard deviation of gray-scale values),
"perimeter",
"area",
"smoothness" (local variation in radius lengths),
"compactness" (perimeter^2 / area - 1.0),
"concavity" (severity of concave portions of the contour),
"concave points" (number of concave portions of the contour),
"symmetry",
"fractal dimension" ("coastline approximation" - 1)
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Name | Description | |
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Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) | |
Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.) | |
GetHashCode | Serves as the default hash function. (Inherited from Object.) | |
GetType | Gets the Type of the current instance. (Inherited from Object.) | |
MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) | |
ToString | Returns a string that represents the current object. (Inherited from Object.) |
Name | Description | |
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HasMethod |
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.) | |
IsEqual |
Compares two objects for equality, performing an elementwise
comparison if the elements are vectors or matrices.
(Defined by Matrix.) | |
To(Type) | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) | |
ToT | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) |
Features are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. They describe characteristics of the cell nuclei present in the image. A few of the images can be found at http://www.cs.wisc.edu/~street/images/
Separating plane described above was obtained using Multisurface Method-Tree (MSM-T) [K. P. Bennett, "Decision Tree Construction Via Linear Programming." Proceedings of the 4th Midwest Artificial Intelligence and Cognitive Science Society, pp. 97-101, 1992], a classification method which uses linear programming to construct a decision tree. Relevant features were selected using an exhaustive search in the space of 1-4 features and 1-3 separating planes.
The actual linear program used to obtain the separating plane in the 3-dimensional space is that described in: [K. P. Bennett and O. L. Mangasarian: "Robust Linear Programming Discrimination of Two Linearly Inseparable Sets", Optimization Methods and Software 1, 1992, 23-34].
References: