<u>The wireless network:</u>
Wireless networking and internet access are essentials when it comes to the smooth functioning of an enterprise. Certain information can be transferred from one computer to another within a specified if they are connected to a network.
In this case, as the company shares the building with the branch office of a rival company there may be repercussions. First of all, the company's wireless network should be equipped with a strong password and it should be changed regularly too.
Next, the officials responsible for networking should also monitor the range of their wireless network. There is no point in keeping the range of wireless network wide as it is to be used by employees only and they can access it on the company's premises.
An outline is going to be the best answer
K-means can be used for hierarchical clustering by creating a hierarchical tree structure. This is done by setting the number of clusters to be created, and then running the k-means clustering algorithm for each level of the tree. For each level, the clusters created are then combined to form the next level of the tree. This process is repeated until the desired number of clusters has been created.
<h3>The Use of K-Means Clustering for Hierarchical Clustering</h3>
K-means clustering is a popular technique used in machine learning and data mining for partitioning data into clusters. It is a flat clustering algorithm, in which data points are grouped according to their similarity. While k-means clustering is suitable for partitioning data into a fixed number of clusters, it can also be used for hierarchical clustering. Hierarchical clustering is a clustering technique that creates a hierarchical tree structure, where each level of the tree is made up of clusters created by the k-means clustering algorithm.
The process of creating a hierarchical tree structure using k-means clustering is fairly straightforward. First, the number of clusters to be created is set, and then the k-means clustering algorithm is run for each level of the tree. For each level, the clusters created are then combined to form the next level of the tree until the desired number of clusters has been created. This process ensures that the clusters created are meaningful and have similar characteristics.
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Answer:
shareware
Explanation:
It is the shareware, which is available for free for a certain period, and after that, the actual fee is charged for continued usage. The public domain is free from copyright, patent or trademark laws, and is the public property. The open-source is the free code of software that is available with code for the whole developer community. And it is shared among all the developers. And the developer can be anybody. The freeware is the software that is provided free of cost by the publisher. And there is no set of rights, licenses or EULA that governs its distribution, and each publisher frames his own set of rules for the usage of the freeware.