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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.
In datawarehouse , a fact table consist of
Which I/O scheduling algorithm is designed to reduce the average response time for disk operations by prioritizing requests based on proximity to the cu...
Predict the output
list1 = ['physics', 'chemistry', 1997, 2000]
list2 = [1, 2, 3, 4, 5, 6, 7 ]
print "list1[0]: ", list1[0]
What is the primary purpose of the fork() system call in Unix-based operating systems?
What is the primary goal of abstraction in computer science?
What were the early operating systems commonly known as, and what was their primary function?
The ALU performs the indicated operation on the operands prepared in the prior cycle and store the result in the specified destination operand location.
What is the primary objective of system testing in the software development lifecycle?
Which of the following describes a major benefit of Continuous Integration (CI) in the software development lifecycle?
Which of the following statements best describes the concept of a computing model in computer science?