This database has been artificially generated by using a first order theory which describes the structure of ten capital letters of the English alphabet and a random choice theorem prover which accounts for etherogeneity in the instances. The capital letters represented are the following: A, C, D, E, F, G, H, L, P, R. Each instance is structured and is described by a set of segments (lines) which resemble the way an automatic program would segment an image. Each instance is stored in a separate file whose format is the following:
CLASS OBJNUM TYPE XX1 YY1 XX2 YY2 SIZE DIAG
where CLASS is an integer number indicating the class as described below, OBJNUM is an integer identifier of a segment (starting from 0) in the instance and the remaining columns represent attribute values. For further details, contact the author.
Attribute Information:
TYPE: the first attribute describes the type of segment and is always set to the string "line". Its C language type is char.
XX1,YY1,XX2,YY2: these attributes contain the initial and final coordinates of a segment in a cartesian plane. Their C language type is int.
SIZE: this is the length of a segment computed by using the geometric distance between two points A(X1,Y1) and B(X2,Y2). Its C language type is float.
DIAG: this is the length of the diagonal of the smallest rectangle which includes the picture of the character. The value of this attribute is the same in each object. Its C language type is float.
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Data Type
Multivariate
Default Task
Classification
Attribute Type
Categorical, Integer, Real
Published Year
1992
Area of Dataset
Computer
Missing Values
No
No. of Instances
6000
No. of Attributes
7
| Data Type | Multivariate | Default Task | Classification |
|---|---|---|---|
| Attribute Type | Categorical, Integer, Real | Published Year | 1992 |
| Area of Dataset | Computer | Missing Values | No |
| No. of Instances | 6000 | No. of Attributes | 7 |
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