This clustering algorithm merges and splits nodes to help modify nonoptimal partitions.
A. agglomerative clustering
B. expectation maximization
C. conceptual clustering
D. k-means clustering
Answer: Option D
A. agglomerative clustering
B. expectation maximization
C. conceptual clustering
D. k-means clustering
Answer: Option D
In simple term, machine learning is
A. training based on historical data
B. prediction to answer a query
C. both A and B
D. automization of complex tasks
Which of the following is the best machine learning method?
A. scalable
B. accuracy
C. fast
D. all of the above
The output of training process in machine learning is
A. machine learning model
B. machine learning algorithm
C. null
D. accuracy
Application of machine learning methods to large databases is called
A. data mining.
B. artificial intelligence
C. big data computing
D. internet of things
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