Answer:
1977
Explanation:
Apple 2 was released in April 19th 1977
Answer:
Open world exploration and inventory management
Explanation:
In the first Zelda game (NES) and Zelda ii (NES) there were very early open world mechanics along with inventory management.
Answer:
<u>ITS A SIMPLE ANSWER BUT THE PROBLEM IS TOO BIG!</u>
Explanation:
The phishing email might contain a link which on clicking will take you to a fake web page. For example, the link might take you to a fake bank website which looks very legitimate but in reality is just a lookalike. If the victim falls for the scam and enters his/her account details on the website, the details will actually go to the hacker's server instead of going to the bank and the hacker will have all the information that the victim has provided on the website.
Answer:
Open Task Manager and end the process associated with the application.
Explanation:
When using a computer installed with the Windows Operating system and an application is not responding to the mouse or keyboard input, you can end such application process without exiting other open applications by opening the task manager using the key combinations "CTRL + ALT + DEL". This would open the Task Manager showing all the open application and then you can end the process associated with the application that is not responding.
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.
Learn more about k-means :
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