Question
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.
(a) Develop a linked list where the observation points to the first corresponding feature, sepal length. For example observation 1 will point to the value of 5.1. The choice is up to the developer, at a minimum use the first 10 observation, there will be 10 lists or a table/array of 10 locations pointing to a linked list. 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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