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

Landsat Satellite data set

Description
Files and additional references

Description

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

General information

Landsat Satellite data set
Type	Classification	Origin	Real world
Features	36	(Real / Integer / Nominal)	(0 / 36 / 0)
Instances	6435	Classes	7
Missing values?			No

Attribute description

Attribute	Domain	Attribute	Domain	Attribute	Domain
Sp11	[0, 255]	Sp24	[0, 255]	Sp37	[0, 255]
Sp12	[0, 255]	Sp25	[0, 255]	Sp38	[0, 255]
Sp13	[0, 255]	Sp26	[0, 255]	Sp39	[0, 255]
Sp14	[0, 255]	Sp27	[0, 255]	Sp41	[0, 255]
Sp15	[0, 255]	Sp28	[0, 255]	Sp42	[0, 255]
Sp16	[0, 255]	Sp29	[0, 255]	Sp43	[0, 255]
Sp17	[0, 255]	Sp31	[0, 255]	Sp44	[0, 255]
Sp18	[0, 255]	Sp32	[0, 255]	Sp45	[0, 255]
Sp19	[0, 255]	Sp33	[0, 255]	Sp46	[0, 255]
Sp21	[0, 255]	Sp34	[0, 255]	Sp47	[0, 255]
Sp22	[0, 255]	Sp35	[0, 255]	Sp48	[0, 255]
Sp23	[0, 255]	Sp36	[0, 255]	Sp49	[0, 255]
Class	{1,2,3,4,5,6,7}

Additional information

The database consists of the multi-spectral values of pixels in 3x3 neighbourhoods in a satellite image, and the classification associated with the central pixel in each neighbourhood. The aim is to predict this classification, given the multi-spectral values. In the sample database, the class of a pixel is coded as a number.

Each example contains the pixel values in the four spectral bands (converted to ASCII) of each of the 9 pixels in the 3x3 neighbourhood and a number indicating the classification label of the central pixel. The number is a code for the following classes:

- 1: red soil
- 2: cotton crop
- 3: grey soil
- 4: damp grey soil
- 5: soil with vegetation stubble
- 6: mixture class (all types present)
- 7: very damp grey soil

Files and additional references

In this section you can download some files related to the satimage 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/Statlog+%28Landsat+Satellite%29.