Assignment of data points to clusters and cluster evaluation: Given the medoids and theirassociated sets of dimensions, the data points are assigned to the medoids using a singlepass over the database. The distance of the data points to the medoids is computed usingthe Manhattan segmental distance. The Manhattan segmental distance is the same as theManhattan distance, except that it is normalized for the varying number of dimensionsassociated with each medoid. To compute this distance, the Manhattan distance is com-puted using only the relevant set of dimensions, and then divided by the number of relevantdimensions. A data point is assigned to the medoid with which it has the least Manhattansegmental distance. After determining the clusters, the objective function of the clusteringis evaluated as the average Manhattan segmental distance of data points to the centroidsof their respective clusters. If the clustering objective improves, then Sbest is updated.Determination of bad medoids: The determination of “bad” medoids from Sbest is per-formed as follows: The medoid of the cluster with the least number of points is bad. Inaddition, the medoid of any cluster with less than (n/k) ?minDeviation points is bad,where minDeviation is a constant smaller than 1. The typical value was set to 0.1. Theassumption here is that bad medoids have small clusters either because they are outliers orbecause they share points with another cluster. The bad medoids are replaced with randompoints from the candidate medoid set M.Refinement phase: After the best set of medoids is found, a final pass is performed overthe data to improve the quality of the clustering. The dimensions associated with eachmedoid are computed differently than in the iterative phase. The main difference is that toanalyze the dimensions associated with each medoid, the distribution of the points in theclusters at the end of the iterative phase is used, as opposed to the localities of the medoids.After the new dimensions have been computed, the points are reassigned to medoids basedon the Manhattan segmental distance with respect to the new set of dimensions. Outliersare also handled during this final pass over the data. For each medoid i, its closest othermedoid is computed using the Manhattan segmental distance in the relevant subspace ofmedoid i. The corresponding distance is referred to as its sphere of influence. If the Man-hattan segmental distance of a data point to each medoid is greater than the latter’s sphereof influence, then the data point is discarded as an outlier.Your assignment is to create a crisis management plan for either your organization or for Dalton, Walton, and Carlton, Inc. When constructing your plan, think about what needs to be done to protect employees, equipment, and the facilities during a crisis. You should start by defining what is a crisis and what types of events would be covered by your plan. Use your readings this module to guide you. Write this as if you were going to give it to management to use as a basis for a real crisis management plan.You should cover the following components in your plan (Click to Explore):Assume a risk analysis has been completed and approved.Activation Protocol: Be sure to include triggers for the crisis management plan, as the natural first response to an emergency is often paralysis. Using levels of urgency as your criterion, define the circumstances that activate a particular crisis response. In addition, explain how to escalate that response, in the event that a crisis turns out to be more serious than it first appeared. Based on the type or location of the incident, the protocol should also direct your staff on how to respond. And, the protocol should establish some type of communication that signals the end of a crisis.Chain of Command: Include a crisis management-related organization chart in your plan, so it’s clear who has final authority and who reports to whom. Making a well-defined org chart supports coordination and consistency, which decentralized organizations sometimes struggle to achieve. Depending on the seriousness of the event, your plan may call for additional layers of command. For example, an emergency at one site may activate the response team and leader at that particular site, but a company-wide crisis may require a headquarters crisis team that has regional teams operating underneath it.Command Center Plan: Determine what will serve as the base of operations for the team during a crisis. In addition, indicate what supplies and utilities the team will require. In the event that the first command center is unavailable, you will also need to designate a backup command center. Please see below for complete details on setting up a command center.Response Action Plans: Perform detailed planning around how you will respond to various scenarios. This planning includes assigning responsibility for each task. Think of these response actions as modular elements that you should employ as the situation requires. Conceptualizing crises in this way makes your crisis management plan adaptable.”The best plans use an all-hazard approach, meaning you don’t write plans with a specific crisis in mind, but rather with all potential hazards in mind. Using this method ensures that you’ll have a consistent response and a team that’s always ready, regardless of the nature of the incident,” recommends Regina Phelps, Founder of crisis management consulting firm Emergency Management & Safety Solutions.Internal Communication Plan: Create systems and backup methods for members of the crisis management team to communicate with each other. Collect contact information for all team members as well as anyone they might need to call upon, including outside consultants and subject matter experts. You must also establish ways to disseminate urgent information to all employees, such as using a notification provider to send texts and automated calls or implementing a method for your employees to check in and report their safety and whereabouts. Determine how you will share sensitive news internally, such as a threat to the company’s viability or a loss of life. In addition, don’t forget to establish a schedule and mechanism for updates.Image transcription textProbIEm 1* The Cherno?’ bound. TheCherno?’ bound is a powerful tool thatrelies on the transform as… Show more… Show moreImage transcription text3.1 Discrete Example [15pts] Supposeyou are playing two unfair coins. Theprobability of tossing a h… Show more… Show moreImage transcription textExercise 2 (Paley-Zigmundinequality). Let X be a nonnegative RVwith E[|X|] < co. Fix a c... Show more... Show moreImage transcription textTo do this, you can use the Inverse Transform SamplingMethod for random number generation from an arbitrarycontinuous distribution having an inverse. For a ... Show more... Show moreEngineering & TechnologyComputer ScienceCOMPUTER S MET CS 599
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