Which Python library is commonly used for implementing K-Means clustering?Answer areapandasscikit-learnNumpyTensorFlow

Which function in scikit-learn is used to perform K-Means clustering?Answer areaK Means Cluster ()K Means ()K Means Clustering ()Cluster K Means ()

Which library in Python is commonly used for implementing K-Nearest Neighbors (KNN)?Answer areaNumPySciPyscikit-learnTensorFlow

. The Spark MLlib provides a clustering library located at

What is the main goal of the k-means algorithm?Select one:a.To discover patterns or relationships within a datasetb.To partition a dataset into a specified number of clustersc.To classify data into predefined categoriesd.To predict the value of a continuous target variable

Item #1: (Demos Demonstration)Demonstrate in Demos the standard algorithm implementation for K-means clustering for k=3 and using the dataset from below. Post screenshotsDataset:(-3,7), (-4,6),(-5,5.5),(-5.45,5.8),(-1,3),(-1,2),(1,1),(2,2),(2.1,2.7),(5,5),(6,5.5)