While running the same algorithm multiple times which algorithm produces same results?
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The K means algorithm while running the same algorithm multiple times produces same results.
Well the k means clustering is the method of quantization of the vector.
The k means clustering is used when the data is not labeled.
There may be various alternatives in a business environment the k means algorithm is used to confirm the assumptions used in business.
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Answer:hierarchial clustering is the correct answer
Explanation:
The approach is not random,either top to bottom or bottom to top giving the same results everytime
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