Which of the following algorithms is commonly used in Machine Learning for clustering tasks?
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.
The _________ property of the element is a whole number.
Which of the following is the most reactive element in the Periodic table?
Which substance is commonly used as a thermometric material in thermometers due to its expansive properties under temperature changes?
What is the primary purpose of using bleaching powder in drinking water?
Litmus paper, used to test pH levels, is derived from which organism?
What is the primary use of calcium carbonate in antacid tablets?
Formula of ‘Quick Lime’ is __________
What are antibiotics?
What term describes the enthalpy change when a substance transitions from solid to liquid at its melting point?
Which gas is most abundant in the Earth's atmosphere.