拜仁vs本菲卡:谁知道可以从什么地方得到英国著名统计学家R.A.Fisher的150组Iris(鸢尾花)数据?

来源:百度文库 编辑:杭州交通信息网 时间:2024/04/29 11:07:06
我需要这些数据作聚类分析

要是有别的数据,也可以作聚类分析的也行

谢谢了

The file iris.dat contains the famous `Fisher Iris Data' (from Andrews and Herzberg). The data is also in the file iris.dbf in dBase format.

The data below, taken from Fisher (1936), are the measurements of the sepal length and width and petal length and width in centimetres of fifty plants for each of three types of iris; Iris setosa, Iris versicolor and Iris virginica. These data are commonly referred to as the ``Fisher Iris Data''. Although the data were collected by Dr. Edgar Anderson, R. A. Fisher published the data on Iris setosa and Iris versicolor to demonstrate the use of discriminant functions. The Iris virginica data are used to extend Fisher's technique and to test Randolph's (1934) hypothesis that Iris versicolor is a polyploid hybrid of the two other species which is related to the fact that Iris setosa is a diploid species with 38 chromosomes, Iris virginica a tetraploid and Iris versicolor having 108 chromosomes is a hexaploid.

Below is the contents of the disk file iris.dat:

5.1 3.5 1.4 0.2 7.0 3.2 4.7 1.4 6.3 3.3 6.0 2.5
4.9 3.0 1.4 0.2 6.4 3.2 4.5 1.5 5.8 2.7 5.1 1.9
4.7 3.2 1.3 0.2 6.9 3.1 4.9 1.5 7.1 3.0 5.9 2.1
4.6 3.1 1.5 0.2 5.5 2.3 4.0 1.3 6.3 2.9 5.6 1.8
5.0 3.6 1.4 0.2 6.5 2.8 4.6 1.5 6.5 3.0 5.8 2.2
5.4 3.9 1.7 0.4 5.7 2.8 4.5 1.3 7.6 3.0 6.6 2.1
4.6 3.4 1.4 0.3 6.3 3.3 4.7 1.6 4.9 2.5 4.5 1.7
5.0 3.4 1.5 0.2 4.9 2.4 3.3 1.0 7.3 2.9 6.3 1.8
4.4 2.9 1.4 0.2 6.6 2.9 4.6 1.3 6.7 2.5 5.8 1.8
4.9 3.1 1.5 0.1 5.2 2.7 3.9 1.4 7.2 3.6 6.1 2.5
5.4 3.7 1.5 0.2 5.0 2.0 3.5 1.0 6.5 3.2 5.1 2.0
4.8 3.4 1.6 0.2 5.9 3.0 4.2 1.5 6.4 2.7 5.3 1.9
4.8 3.0 1.4 0.1 6.0 2.2 4.0 1.0 6.8 3.0 5.5 2.1
4.3 3.0 1.1 0.1 6.1 2.9 4.7 1.4 5.7 2.5 5.0 2.0
5.8 4.0 1.2 0.2 5.6 2.9 3.6 1.3 5.8 2.8 5.1 2.4
5.7 4.4 1.5 0.4 6.7 3.1 4.4 1.4 6.4 3.2 5.3 2.3
5.4 3.9 1.3 0.4 5.6 3.0 4.5 1.5 6.5 3.0 5.5 1.8
5.1 3.5 1.4 0.3 5.8 2.7 4.1 1.0 7.7 3.8 6.7 2.2
5.7 3.8 1.7 0.3 6.2 2.2 4.5 1.5 7.7 2.6 6.9 2.3
5.1 3.8 1.5 0.3 5.6 2.5 3.9 1.1 6.0 2.2 5.0 1.5
5.4 3.4 1.7 0.2 5.9 3.2 4.8 1.8 6.9 3.2 5.7 2.3
5.1 3.7 1.5 0.4 6.1 2.8 4.0 1.3 5.6 2.8 4.9 2.0
4.6 3.6 1.0 0.2 6.3 2.5 4.9 1.5 7.7 2.8 6.7 2.0
5.1 3.3 1.7 0.5 6.1 2.8 4.7 1.2 6.3 2.7 4.9 1.8
4.8 3.4 1.9 0.2 6.4 2.9 4.3 1.3 6.7 3.3 5.7 2.1
5.0 3.0 1.6 0.2 6.6 3.0 4.4 1.4 7.2 3.2 6.0 1.8
5.0 3.4 1.6 0.4 6.8 2.8 4.8 1.4 6.2 2.8 4.8 1.8
5.2 3.5 1.5 0.2 6.7 3.0 5.0 1.7 6.1 3.0 4.9 1.8
5.2 3.4 1.4 0.2 6.0 2.9 4.5 1.5 6.4 2.8 5.6 2.1
4.7 3.2 1.6 0.2 5.7 2.6 3.5 1.0 7.2 3.0 5.8 1.6
4.8 3.1 1.6 0.2 5.5 2.4 3.8 1.1 7.4 2.8 6.1 1.9
5.4 3.4 1.5 0.4 5.5 2.4 3.7 1.0 7.9 3.8 6.4 2.0
5.2 4.1 1.5 0.1 5.8 2.7 3.9 1.2 6.4 2.8 5.6 2.2
5.5 4.2 1.4 0.2 6.0 2.7 5.1 1.6 6.3 2.8 5.1 1.5
4.9 3.1 1.5 0.2 5.4 3.0 4.5 1.5 6.1 2.6 5.6 1.4
5.0 3.2 1.2 0.2 6.0 3.4 4.5 1.6 7.7 3.0 6.1 2.3
5.5 3.5 1.3 0.2 6.7 3.1 4.7 1.5 6.3 3.4 5.6 2.4
4.9 3.6 1.4 0.1 6.3 2.3 4.4 1.3 6.4 3.1 5.5 1.8
4.4 3.0 1.3 0.2 5.6 3.0 4.1 1.3 6.0 3.0 4.8 1.8
5.1 3.4 1.5 0.2 5.5 2.5 4.0 1.3 6.9 3.1 5.4 2.1
5.0 3.5 1.3 0.3 5.5 2.6 4.4 1.2 6.7 3.1 5.6 2.4
4.5 2.3 1.3 0.3 6.1 3.0 4.6 1.4 6.9 3.1 5.1 2.3
4.4 3.2 1.3 0.2 5.8 2.6 4.0 1.2 5.8 2.7 5.1 1.9
5.0 3.5 1.6 0.6 5.0 2.3 3.3 1.0 6.8 3.2 5.9 2.3
5.1 3.8 1.9 0.4 5.6 2.7 4.2 1.3 6.7 3.3 5.7 2.5
4.8 3.0 1.4 0.3 5.7 3.0 4.2 1.2 6.7 3.0 5.2 2.3
5.1 3.8 1.6 0.2 5.7 2.9 4.2 1.3 6.3 2.5 5.0 1.9
4.6 3.2 1.4 0.2 6.2 2.9 4.3 1.3 6.5 3.0 5.2 2.0
5.3 3.7 1.5 0.2 5.1 2.5 3.0 1.1 6.2 3.4 5.4 2.3
5.0 3.3 1.4 0.2 5.7 2.8 4.1 1.3 5.9 3.0 5.1 1.8