Nt1320 Unit 4

1.Having a website for a traditional business can enhance operations, attract new customers, and increase income. There are a great amount of people that would rather accomplish tasks online. A website for a business that sells products can set up a system where products can be bought and shipped to the buyer. People live busy lives and often do not have time for shopping for whatever it is they may need and the option to buy and have items shipped has become increasingly popular in order to save time and money. It has gotten to the point where some people are ordering there groceries online and having them delivered to their porch. There may be a potential for a broader customer base for certain operations if they had this particular option. Places that need reservations such as restaurants and hair/nail salons can also

Having secure mobile and IP address to it is one of the major important factors as to avoid hacking data. (VoIP) is majorly defined as the ability for faxing, phone calls etc. There is also a need of scalable support over IP which routes and optimizes the mobile needs over secured IP and its protocols. There are also communication insecurity in terms of protection. Some of them are protocol errors, cryptographic errors and implementation errors

Although handwritten records are still the mainstay of clinical record keeping, many medical professionals believe that the increased use of information technologies has the potential to effect healthcare for the better. For example, Dr. Daniel R. Masys said, “Against a background of an explosively growing body of knowledge in the health sciences, current models of clinical decision making by autonomous practitioners, relying upon their memory and personal experience, will be inadequate for effective twenty-first-century health care delivery.” While keeping in mind how far manual records have gotten us, we need to realize that information technologies result in better data correlation and management.

This one is called cost/benefits. I have to describe how it supports our and neighboring districts and that it is advantageous compared to the cost.

The digital platform is structured around two pillars: firstly, Healthify must ensure the highest standard of privacy and security in handling sensitive health information. Secondly, since the aim of doc.com is to unify all of Canada’s health care providers under one platform, Healthify must ensure redundancy, data safety, and extremely minimal down time. Should a problem similar to that affecting the Phoenix payroll software occur, the healthcare system would be crippled. In order for it to be effective, stakeholders must be confident in doc.com’s performance. Given that doc.com will handle vast amounts of personal information, the platform will be closed. Open sourcing can be beneficial for certain pieces of software,

Time to configure the DNS, go to the distribution which is just created and see for the CloudFront specific domain name. Copy that domain name with the DNS provider, configure the CNAME to point from http://cdn.your-magento-site to the CloudFront domain name.

Cigarette smoke when inhaled and exhaled release toxic particles and vapors. When the cigarette smoke enters the nose, to the nasal cavity, paranasal sinus, into the larnyx, esophagus and onward through the body. I want to stop and go back to the beginning of smoke entry. The nose contains external nears or cilia. These cilia try to capture as much of these toxic particles and push them back towards the outside of the nose. Then these toxic particles move through the nasal cavity, up and around the paranasal sinuses, which contains the frontal, esthmoid, maxillary and sphenoid sinus. Let me explain a few fundamentals. The cilia, nasal cavity and paranasal sinuses help filter, warm and moisten the air you breath,

The main security concern of many organizations nowadays is how to prevent or mitigate the risks coming from portable devices such as tablets, smartphones and laptops. Each of these devices connecting to the corporate network creates a potential entry point for security threats (which is called endpoint). Another concern is how to secure the data which resides on portable devices of their employees. This needs to be done in such a way that even if the device falls into wrong hands, the data should be protected. These two concerns can be resolved with the help of endpoint security.

The clustering hierarchy for text clustering or documents clustering we used cluster dendrogram presentation by R implementation. Some people find cluster dendrograms to be fairly clear to read. Others simply find them perplexing. Here, we can see many more groups that are identifiable in the dendrogram. Here, I have arbitrarily chosen to look at five clusters, as indicated by the red boxes in figure

After running the segmentation analysis, we get 3 clusters as displayed by the following dendogram-

The initial centroid for the “top” cluster is the data point far away from the original cluster’s centroid. To find the initial location of the centroid of the “bottom” cluster, we draw a vector starting at the original cluster’s centroid and ending at the top cluster’s centroid. This vector is then set to point in the opposite direction of the “top” centroid. The endpoint of this mirrored vector is used as the initial centroid for the “bottom” cluster. This entire process of splitting the cluster results in the initial centroids for “top” and “bottom” being as far away from each other as possible.

The K-means algorithm is an unsupervised clustering algorithm which partitions a set of data, usually termed dataset into a certain number of clusters. Minimization of a performance index is the primary basis of K-means Algorithm, which is defined as the sum of the squared distances from all points in a cluster domain in the cluster center. Initially K random cluster centers are chosen. Then, each sample in the sample space is assigned to a cluster based on the minimum distance to the center of the cluster. Finally the cluster centers are updated to the average of the values in each cluster. This is repeated until cluster centers no longer change. Steps in the K-means algorithm are [K.M. Murugesan and S.

Clustering is a process of grouping objects with some similar properties. Any cluster should exhibit fundamental properties, low between class comparability and similarity. Clustering is an unsupervised learning i.e. it adapts by perception instead of illustrations. There is no predefined class conditions exist for

When k-1 partitions have been formed, assign the remaining nodes to the last, kth partition.

Abstract— The set of objects having same characteristics are organized in groups and clusters of these objects are formed known as Data Clustering.It is an unsupervised learning technique for classification of data. K-means algorithm is widely used and famous algorithm for analysis of clusters.In this algorithm, n number of data points are divided into k clusters based on some similarity measurement criterion. K-Means Algorithm has fast speed and thus is used commonly clustering algorithm. Vector quantization,cluster analysis,feature learning are some of the application of K-Means.However results generated using this algorithm are mainly dependant on choosing initial cluster centroids.The main shortcome of this algorithm is to provide appropriate number of clusters.Provision of number of clusters before applying the algorithm is highly impractical and requires deep knowledge of clustering