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Using Kmeans and Kneighbors algorithm for clustering Iris and Mall data

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Clustering

Using Kmeans and Kneighbors algorithm for clustering Iris and Mall data

In the Mall_Customers dataset KMeans algorithm has been used for clustering by selecting the most optimal features Code : Code_Mall.ipynb

In the iris dataset From Neighbors algorithm in the direction of clustering by choosing the most optimal features in order to classify this plant into three categories: Iris-setosa, Iris-versicolor, Iris-virginica have been used. And finally, a prediction model has been built by giving four characteristics: SepalLengthCm, SepalWidthCm, PetalLengthCm, PetalWidthCm, It is possible to determine the type of plant with good accuracy. Code: code_iris.ipynb

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Using Kmeans and Kneighbors algorithm for clustering Iris and Mall data

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