This dataset classifies people described by a set of attributes as good or bad credit risks. Comes in two formats (one all numeric). Also comes with a cost matrix.

Statlog (Image Segmentation) Data Set(Statlog(图像

分割)数据集)

数据摘要：

This dataset is an image segmentation database similar to a database already present in the repository (Image segmentation database) but in a slightly different form.

中文关键词：

Statlog,图像分割,多变量,分类,UCI,

英文关键词：

Statlog,Image Segmentation,Multivariate,Classification,UCI,

数据格式：

TEXT

数据用途：

This data is used for classifacation.

数据详细介绍：

Statlog (Image Segmentation) Data Set

This dataset classifies people described by a set of attributes as good or bad credit risks. Comes in two formats (one all numeric). Also comes with a cost matrix.

Abstract: This dataset is an image segmentation database similar to a database already

Source:

Creators:

Vision Group, University of Massachusetts

Donor:

Data Set Information:

The instances were drawn randomly from a database of 7 outdoor images. The images were handsegmented to create a classification for every pixel.

Each instance is a 3x3 region.

Attribute Information:

1. region-centroid-col: the column of the center pixel of the region.

2. region-centroid-row: the row of the center pixel of the region.

3. region-pixel-count: the number of pixels in a region = 9.

4. short-line-density-5: the results of a line extractoin algorithm that counts how many lines of length 5 (any orientation) with low contrast, less than or equal to 5, go through the region.

5. short-line-density-2: same as short-line-density-5 but counts lines of high contrast, greater than 5.

6. vedge-mean: measure the contrast of horizontally adjacent pixels in the region. There are 6, the mean and standard deviation are given. This attribute is used as a vertical edge detector.

7. vegde-sd: (see 6)

8. hedge-mean: measures the contrast of vertically adjacent pixels. Used for horizontal line detection.

9. hedge-sd: (see 8).

10. intensity-mean: the average over the region of (R + G + B)/3

11. rawred-mean: the average over the region of the R value.

This dataset classifies people described by a set of attributes as good or bad credit risks. Comes in two formats (one all numeric). Also comes with a cost matrix.

12. rawblue-mean: the average over the region of the B value.

13. rawgreen-mean: the average over the region of the G value.

14. exred-mean: measure the excess red: (2R - (G + B))

15. exblue-mean: measure the excess blue: (2B - (G + R))

16. exgreen-mean: measure the excess green: (2G - (R + B))

17. value-mean: 3-d nonlinear transformation of RGB. (Algorithm can be found in Foley and VanDam, Fundamentals of Interactive Computer Graphics)

18. saturatoin-mean: (see 17)

19. hue-mean: (see 17)

Classes:

1 = brickface,

2 = sky,

3 = foliage,

4 = cement,

5 = window,

6 = path,

7 = grass.

数据预览：

This dataset classifies people described by a set of attributes as good or bad credit risks. Comes in two formats (one all numeric). Also comes with a cost matrix.

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