In order to solve the issue of the Minimum Spanning Tree, what is the most effective approach to use Prim's method?... Do any of the other data structures have an advantage over the others? Why? Explain.

In order to solve the issue of the Minimum Spanning Tree, what is the most effective approach to use Prim's method?... Do any of the other data structures have an advantage over the others? Why? Explain.

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You have access to a database that contains the x, y coordinates and names of all surrounding dining establishments. The only questions that need answering are these: A restaurant's viability at the given location is being questioned. Is it preferable to use a B-tree or an R-tree indexing method, and why? Why?
please code in pythonApply a KMeans model to decouple the anomalous data from the normal data. Fill in the myKMeans function which accepts as input the training set and returns a fully trained clustering model.Template:def myKMeans(Xtrain, ytrain): #write function here return myKMeansYou can use any sample data
Hello. Please answer the attached Hashing in Data Structures question correctly and follow all directions. Please give the solution for the problem. Do not copy the answers already given on Chegg or Bartleby. I just want your own personal answer. *If you solve the problem by yourself and it is correct I will provide a thumbs up for you. Thank you.
Present an algorithm (in outline form) for inserting an element into a sorted linked list so that the list is always in sorted order. Do not utilize a sorting routine, but rather devise an insert (add) algorithm that will search the list and insert the new element in the proper place in the list so that the list is always in order. Assume that the objects involved all properly override both the equals (==) and the compareTo (>, <, >=, and <=) methods. The list is to be maintained in ascending order. Assume that the add method has the following signature. public void Add(E element)
Let M(m,n) denote the number of comparisons required to merge two sorted lists of sizes m and n. a) Derive an "information theoretic" lower bound on M(m,n). b) Find an interesting relation between M(m,n) and the analogous function S defined for sorting. Use this relation to derive a lower bound for M(m,n) in terms of S. (Hint: Start with an upper bound on S(m+n).
a.Provide a top-level decomposition of the problem of drawing a frieze pattern, assuming for the moment that the basic element is repeated just exactly 5 times. At this stage you are not trying to produce a solution, just break the problem down into smaller parts. We are looking for a decomposition that could apply to a frieze composed of any basic element, so for now you should just assume that the exact form of the basic element will be considered in a more detailed decomposition, so you can just say “draw basic element” for this step. Your initial decomposition should use exactly one loop. In the remainder of this question, you will design and implement a program to draw the particular frieze shown In this frieze the length of each of the eight "spokes” of the basic element is 40 and the angle between the spokes is 45º. Each repeat is 100 units to the right of the previous one, as measured from the centre of one basic element to the centre of the next (where the centre is the…
Could you help me the following questions? Sara and her friends said they have discovered a way to get O(1) category performance for both insert and remove in a priority queue. Their description of the data structure and algorithms is as follows: They use an array implementation for the priority queue The index of the array represents the rank of an element – e.g. an element whose rank is 50 will be placed at index 49 Each element is the head node to a linked list – if a new element is inserted into the priority queue with the same rank as another element already in the queue, the new element is added to the linked list at its head Example: If an element “X” with rank 25 exists at index 24, and a new element “Y” also has a rank of 25, the linked list at index 24 is “Y” then “X” When remove is performed, the element at the highest index is removed. If there is more than one node at that index, the node at the head of the linked list there is removed Based on this description of the…
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Comparing the Unsorted and Sorted Linked List implementations, the "Put Item" overall seems to be less efficient for the Sorted List. Why is this?
Build a Binary Search Tree with the given input order. You must show step by step process of inserting the inputs including both recursive calls and tree diagrams for each step. [ refer to the Insertitem function of Lecture 10 slides to get an idea of doing this.] N.B: Unique Input orders for each student to build the tree are given on a separate file. Write down the input order on your answer script before answering the question. You must use the assigned input order. Do not change the order. TREE INPUT: 4,1,9,3,2,5,6,8,7