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In this problem the Iris data set will be used. The Iris Plants Database contains 3 classes of 50 instances each, where each class refers

In this problem the Iris data set will be used. The Iris Plants Database contains 3 classes of 50 instances each, where each class refers to a type of Iris plant. Four attributes/features (in centimeters) were collected for each plant instance. A fifth attribute is provided which is the class label of the plant type.

(b) Develop a stack where the observations are stacked starting with the first observation using the sepal length feature. For example observation 1 with a value of 5.1 will be at the bottom of the stack. The choice is up to the developer, at a minimum use the first 10 observation. Show the pseudocode or code of your implementation (please use JAVA language) . Provide the running time of your code from reading in the data, storing the keys and linking the feature data.

For code please use JAVA language

sepal_length sepal_width petal_length petal_width species
5.1 3.5 1.4 0.2 setosa
4.9 3 1.4 0.2 setosa
4.7 3.2 1.3 0.2 setosa
4.6 3.1 1.5 0.2 setosa
5 3.6 1.4 0.2 setosa
5.4 3.9 1.7 0.4 setosa
4.6 3.4 1.4 0.3 setosa
5 3.4 1.5 0.2 setosa
4.4 2.9 1.4 0.2 setosa
4.9 3.1 1.5 0.1 setosa
5.4 3.7 1.5 0.2 setosa
4.8 3.4 1.6 0.2 setosa
4.8 3 1.4 0.1 setosa
4.3 3 1.1 0.1 setosa
5.8 4 1.2 0.2 setosa
5.7 4.4 1.5 0.4 setosa
5.4 3.9 1.3 0.4 setosa
5.1 3.5 1.4 0.3 setosa
5.7 3.8 1.7 0.3 setosa

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