cluster.datasets (version 1.0-1)

jigsaw.puzzle.measures: Hartigan (1975) Jigsaw Puzzle Measurements

Description

A table of measurements for each piece in a jigsaw puzzle. This is Table 3.1 in Chapter 3 of Hartigan (1975) on page 76.

Usage

data(jigsaw.puzzle.measures)

Format

A data frame with 20 observations on the following 13 variables.

piece

a numeric vector for the number of the piece.

L1

a numeric vector for length of the line between the corners.

I1

a numeric vector for the maximum deviation of the line into the piece

O1

a numeric vector for the maximum deviation of the line out of the piece.

L2

a numeric vector for the length of the line between the corners

I2

a numeric vector for the maximum deviation of the line into the piece

O2

a numeric vector for the maximum deviation of the line out of the piece.

L3

a numeric vector for the length of the line between the corners.

I3

a numeric vector for the maximum deviation of the line into the piece

O3

a numeric vector for the maximum deviation of the line out of the piece.

L4

a numeric vector for the length of the line between the corners.

I4

a numeric vector for the maximum deviation of the line into the piece

O4

a numeric vector for the maximum deviation of the line out of the piece.

Source

Hartigan, J. A. (1975). Clustering Algorithms, John Wiley, New York. SPAETH2 Cluster Analysis Datasets http://people.sc.fsu.edu/~jburkardt/datasets/spaeth2/spaeth2.html

Details

A jigsaw puzzle comprises 20 pieces, arranged in a regular array and numbered as follows:

1	2	3
4	5	6
7	8	9
10	11	12
13	14	15
16	1	2

Each piece is roughly rectangular. The corners of the piece are called its vertices, and the sides are called its edges. The four edges of each piece are numbered consecutively, starting from the top and moving clockwise.

For each piece, three measurements were made on each of the four edges, estimating the length of the side, and the amount by which the edge cuts into or juts out of the line joining the two vertices on that side. The measurements are in hundredths of an inch.

References

Hartigan, J. A. (1975). Clustering Algorithms, John Wiley, New York.

Examples

data(jigsaw.puzzle.measures)