What is the primary objective of the K-means clustering algorithm in data analysis?
The K-means clustering algorithm is an unsupervised learning technique used in data analysis to partition a dataset into K distinct clusters. The primary objective of K-means is to group data points into clusters where each data point belongs to the cluster with the nearest mean (centroid), which minimizes the within-cluster variance.
The government of Uttarakhand has signed MoUs worth Rs.5450 crore with the industrial groups of which city for investments in real estate, infrastructur...
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Consider the following statements about ‘Financial Stability Report (FSR) 2022’:
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What recent agreement did the Department of Posts in India enter into to enhance e-commerce exports?
What is the name of the new capital of Indonesia?