See word Assignment Example | Topics and Well Written Essays - 500 words

See word - Assignment Example It is also important to note that the ideas came naturally to him and like other extroverts he tends to think while speaking. This quality made Steve Jobs as one of the important persons in information technology field to communicate ideas easily with others. A key aspect of Steve Jobs personality was the combination of rationality with that of the designs and aesthetics. He was probably the key source behind the fact that Apple was able to manufacture and develop products which were combination of the rationality as well as the imagination and rationale. His idea of work was relatively consistent with that rationality as he was not considered as a narrow minded and have a clear vision of the future. It was also natural for him to actually conceive long term plans and act on them easily. Rationalists are considered as visionary as well as practical in nature and both these qualities were present in Steve Jobs. He was able to visualize the future and made products and services which changed the future of computing and entertainment. However, he was also practical in the sense that he was able to successfully market those ideas and convert them into successful products. He was not considered as a judgmental in nature as over the period of time, he was able to develop the ability to present both views about any argument. He was able to clearly advocate different and opposite ideas therefore may not be considered as judgmental in nature. According to Myers-Briggs, perceivers actually show the world their preferred perceiving function i.e. their intuition side therefore they tend to be more visionary in nature and have entrepreneurial abilities. The above discussion suggests that Steve Jobs was one of the ENTJ and have all the qualities which can be found in a person who is open, easy to communicate rich and have a vision for

Clustering Stock Market Companies Essay Example | Topics and Well Written Essays - 8000 words

Clustering Stock Market Companies - Essay Example It is often seen that business houses in clusters are more successful than those businesses doing identical trade or commercial ventures but are separated from each other, either through geographical distances or other barriers which do not offer their clustering. Not only are clusters more successful in terms of profitability and growth indicators but they are also well-positioned in terms of good management structures and high share value with respect to the companies who are not clustered. It is often found that in many countries the situation of certain similar industries is in close geographical proximity to each other. For instance, computer firms are found in the US in Silicon Valley and Bangalore in India, and they are proliferating exponentially in the recent times. This geographical proximity also gives rise to clustering and has a positive impact on the company's growth since all the members of the cluster would be able to contribute to the economic welfare of the State to which it belongs. The concept of clustering is fundamentally to determine the essential grouping or collation of data, and in the contest of business enterprises could be used to consider important aspects like revenue generation, profit making corporation and the main location aspects of the business. Through this research it is tried to focus upon the important aspects that work in the case of Clustering and how this aspect impacts upon the economy of the country. Clustering could be used for a variety of applications depending upon the desired results or objectives and could help in studying areas of interest like biology, insurance, seismic recordings for earthquakes, World Wide Web (www) where it is necessary to determine the pattern of behaviour in seemingly discrete and unorganized data. For instance in determining census reports, a lot of mass of data from all over the districts are collated and gathered and for arriving at the correct distributional patterns among the vast mass of data and to provide intelligent and coherent analysis and interpretations for the data . This could be done through the use of cluster formation which would distribute the similar data in identical formatting and thus help in achieving the desired ends and conclusions regarding the distribution and behaviour patterns of the data under study. The main determinants of clustering would be therefore in terms of Ability to make valid measurements and coherent analysis Assign attributes to the data based on the findings of clustering Formulating data with the various designs for implementation of decisions Established the least requirement for domain knowledge and determining the inputs that could provide valid outputs measurements and the basis for arriving at logical conclusions It is to be noted that the domain is not concerned with the order of the inputs recording since the processing would be based on similar identification and not other criteria High dimensionality would have to be accorded to the data being researched since this would impinge upon the final results It is also necessary that the data on clustering has high degree of usability in the academic context There are different types of clustering and they could be seen in the contest of Exclusive clusters, overlapping clusters, hierarchical clusters and probable clusters. The Euclidean distance would be the