KEEL: A software tool to assess evolutionary algorithms for Data Mining problems (regression, classification, clustering, pattern mining and so on)

KEEL-dataset - data set description

Image Segmentation data set

Description
Files and additional references

Description

This section describes main characteristics of the segment data set and its attributes:

General information

Image Segmentation data set
Type	Classification	Origin	Real world
Features	19	(Real / Integer / Nominal)	(19 / 0 / 0)
Instances	2310	Classes	7
Missing values?			No

Attribute description

Attribute	Domain	Attribute	Domain
Region-centroid-col	[1.0, 254.0]	Rawred-mean	[0.0, 137.11111]
Region-centroid-row	[11.0, 251.0]	Rawblue-mean	[0.0, 150.88889]
Region-pixel-count	[9.0, 10.0]	Rawgreen-mean	[0.0, 142.55556]
Short-line-density-5	[0.0, 0.33333334]	Exred-mean	[-49.666668, 9.888889]
Short-line-density-2	[0.0, 0.22222222]	Exblue-mean	[-12.444445, 82.0]
Vedge-mean	[0.0, 29.222221]	Exgreen-mean	[-33.88889, 24.666666]
Vedge-sd	[0.0, 991.7184]	Value-mean	[0.0, 150.88889]
Hedge-mean	[0.0, 44.722225]	Saturatoin-mean	[0.0, 1.0]
Hedge-sd	[-1.5894573E-8, 1386.3292]	Hue-mean	[-3.0441751, 2.9124804]
Intensity-mean	[0.0, 143.44444]	Output	{1, 2, 3, 4, 5, 6, 7}

Additional information

This database contains instances drawn randomly from a database of 7 outdoor images. The images were handsegmented to create a classification for every pixel. Each instance encodes a 3x3 region.

The task is to determine the type of surface of each region.

Files and additional references

In this section you can download some files related to the segment data set:

The complete data set already formatted in KEEL format can be downloaded from here .
A copy of the data set already partitioned by means of a 10-folds cross validation procedure can be downloaded from here .
A copy of the data set already partitioned by means of a 5-folds cross validation procedure can be downloaded from here .
The header file associated to this data set can be downloaded from here .
This is not a native data set from the KEEL project. It has been obtained from the UCI Machine Learning Repository. The original page where the data set can be found is: http://archive.ics.uci.edu/ml/datasets/Image+Segmentation.