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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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.