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K-Means is a popular clustering algorithm in machine learning that groups data points into 'k' clusters based on their similarities. The algorithm works by initializing 'k' cluster centroids, assigning each data point to the nearest centroid, and iteratively updating the centroids until the clusters are optimized. K-Means is commonly used in tasks such as market segmentation, image compression, and pattern recognition. Unlike classification algorithms like K-Nearest Neighbors or Logistic Regression, K-Means does not require labeled data.
......................................... is a government agency responsible for formulating and implementing foreign trade policies, and regulating ex...
The most homogeneous category on the soil taxonomy is
Which of the following organization sets standards for testing and certification of Peanut for export from India?
Which of the following is the recently introduced insect pest in India?
Karan fries breed has been evolved by a cross between Tharparkar × Holstein Friesian.Which Institue had developed Karan fries Breed?
What will be the percentage of porosity of a soil which has 1.5g/cm³ bulk density and 2.65 g/cm³ particle density?
The middle layer of the world's oceans receives only faint,filtered sunlight during the daytime. This barely-lit ocean layer is called the Disphotic zon...
Globally India has been ranked ____ in terms of Oilseeds production
L-49 also known as Sardar is a selection from which variety of guava?
Water which is held by forces of surface tension as continuous film around soil particles and is available to plants is known as