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Question: Clustering is generally used along with classification in some applications. In such a case, typically clustering is applied to a dataset to recognize natural grouping of the objects in the dataset, and based on the clustering result you label the objects and build a classifier. Discuss for what real-world application this technique could be used.
Suggest a lazy version of the eager decision tree learning algorithm ID3. What are the advantages and disadvantages of your lazy algorithm compared to the eager algorithm.
Make a stack at 1000h and use the stack to interchange the contents of all of working registers. Exchange AX with DX, BX with CX, and DI with SI.
The objective is to fill in blank squares using words from the list. Your task is to formulate problem as constraint satisfaction problem. Explain two possible solutions.
Before logging on to computer, you must have a unique username and unique password. Analyze and explain considerations you must make when choosing a password.
There are twenty gigabyte of space on a computer's hard disk. I transfer information via a telephone line (connection) at the rate of 14,400 bits per second.
Design an algorithm based on BFS that either colors a graph with 2 colors or determines that two colors are not sufficient.
Write the algorithm which will prompt for and accept four numbers, sort them into ascending sequence and display them to screen. Your algorithm is to include module called Order _two_numbers.
Create an algorithm to produce list of customers from Glad Rags Clothing Company's customer master file. Each record on customer master file contains the customer's number
Write a method singleParent, which returns number of nodes in a binary tree that have only one child.
In this programming assignment you will implement an open hash table and compare the performance of four hash functions using various prime table sizes.
Algorithm that will receive two integer items from a terminal operator, and display to the screen their sum, difference, product and quotient.
Assume you have the array A of n items, and you want to find k items in A closest to the median of A. Describe why your algorithm runs in O(n) time.
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