In the context of clustering in machine learning, k-means clustering algorithm groups data points based on similarity. While there are various methods to quantify distance between data points, we discussed a particular method, Euclidean Distance in class. Customers Variable 1 Variable 2 A 1 4 B 5 6 C 3 4 Calculate the approximate Euclidean Distance between Customer A and B. 2.78 3.14 5.12 6.03 4.47

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A: Hi.. Pls check your answer below.

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A:

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Q: 4 5 7 8 9 A B C D E F G H I J Show the comparisons the Rabin-Karp String matching algorithm makes…

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Q: A picture is worth a thousand words’ goes the saying: How much information is contained in a…

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Q: A move-to-front self-adjusting heuristic algorithm was applied to the given list when searching for…

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A: Initialize an empty array cell_matrix and  materials.Assign values to the cell elements c{1} and…

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Hash Table

A hash table also called a hash map, is a data structure that maps key-value pairs. The hash table can be used in complex systems to provide fast access and compact storage. A hash table is a structure that stores data in an abstract data type kind of associative array. It keeps data in an array format, with a distinct index value for every data value. If the index of the required data is known, then the data can be accessed very easily.