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Overview Hierarchical agglomerative clustering is an example of a hierarchical method for grouping observations. It uses a bottom-up approach to clustering as it starts with each observation as a member of a separate cluster and progressively merges clusters together until all observations are a member of a nal single cluster. The major limitation of hierarchical agglomerative clustering is that it is normally limited to small data sets (often less than 10,000 observations) and the speed to generate the hierarchical tree can be slow for higher numbers of observations. To illustrate the process of hierarchical agglomerative clustering, we will use the data set shown in Table 6.7 containing 14 observations, each measured over ve variables. In this case the variables are all measured on the same scale; however, where variables are measured on different scales they should be normalized to a comparable range (e.g. 0 to 1). This is to avoid any one or more variables having a disproportionate weight and creating a bias in the analysis. First, the distance between all combinations of observations is calculated. The method for assessing the distance along with which variables to include in the calculation should be set prior to clustering. The two closest observations are identi ed and are merged into a single cluster. These two observations from now on will be considered a single group. Next, all observations (minus the two that have been merged into a cluster) along with the newly created cluster are compared to see which observation or cluster should be joined into the next cluster. We are now analyzing both individual observations and clusters. The distance between a single observation and a cluster is determined based on a pre-de ned linkage rule. The different types of linkage rules will be described in the next section. All

Figure 6.6 displays the output of the preceding code with a reset button. You ll observe that, after the input of data in the preceding form, clicking the reset button clears the contents of the text area. That s exactly what a reset button does. From the previous discussions, it is evident that the design of a form can include text controls and push buttons for accepting text entries from the user and submitting them for processing. A form need not require only text inputs or the submit/reset buttons. What about inputs that need to be based on certain selections For example, at a shopping site, displaying the group of options for the mode of purchase as radio buttons and check boxes is preferred. Let s discuss the HTML tags used to create these controls.

Container Component Home External Interfaces External Interfaces Callback CORB A Component Interfaces Internal Interfaces POA

attempted behavioural control. Perhaps liars think that waiting too long before giving an answer will look suspicious and hence a quick response is likely to occur.

Since this case was investigated, the Gramm-Leach-Bliley Act and the Driver s Data Protection Act have taken full effect, requiring greater protection of Social Security numbers and other identifying information. This has led, for example, to the redaction of Social Security numbers and drivers license numbers from many records available to public and business communities. Public Internet databases have been cleaning up their act, as well. Customers who seek comprehensive personal and nancial information from such providers now undergo a vetting process. For example, one provider now requires extensive documentation of private investigation licenses and evidence of legitimate business activity before it provides information. Our team also sent a recommendation, via a special report, to the Postal Inspection Service Headquarters. We suggested that credit bureaus and other companies that furnish smart terminals for business computers should incorporate software to wipe the machines internal memories clean if they are disconnected from a power source for a speci ed period of time, such as 15 to 30 minutes. The rst line of defense against identity theft and fraud is still the individual consumer; we all need to maintain control of our personal information and monitor our nancial accounts. In this regard, there is no such thing as too much public education.

Per Serving: (21 2-x-21 2-inch/6.25-x-6.25-cm piece, 47 g) Calories 172; Available carbohydrate 20 g; Carbohydrate 21 g; Fibre 1 g; Fat 10 g; Protein 2 g; Cholesterol 26 mg; Phosphorus 63 mg; Potassium 86 mg; Sodium 123 mg. 1 Serving = 1 Carbohydrate Choice

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