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between items is re ected in length of the paths between the terminal nodes (Buneman, 1971; Corter, 1996; Dobson, 1974) An additive tree is governed by the additive inequality, which states that if dxy is the path length between x and y, then dij + dkl max(dik + djl, dil + djk) for all i, j, k, l The ultrametric tree is therefore a special case of the additive tree, where the leaf nodes are all equally distant from the root node In an additive tree, this restriction does not hold For example, in the tree shown in panel B of Figure 71, dab = 15, dac = 20, and the dbc = 25, whereas in panel A the dac = dbc In all cases just discussed, only the leaves are explicitly labeled.

Now, add some text in the white box. Use a text color taken from the photo. Click the Eyedropper tool in the Toolbox (or press I); then click an area of your photo that you want to use for your text color (see Figure 1.23). In the figure, a blue color is selected from the sky in the photo. The color of the pixel that you click becomes the new foreground color. Next, make sure the Box layer is selected by clicking it in the Layers palette. This ensures that the type layer is created above the Box layer.

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The researcher may often label the internal nodes on an ad hoc basis to assist in the readability and interpretation of the clusters The reader, however, should be warned that in such cases the internal labels are arbitrary and not de ned by the clustering algorithm Classi cation Data as Tree Models Corter (1996) argued for the acknowledgment of clustering and trees as models of proximity relationships, rather than as the result of an algorithm for tting data The distinction here is subtle but important Cluster analysis can begin with the notion of some existing underlying clusters The clusters might be subject to noise and error and vary in dispersion and overlap The clusters are sampled with measurements taken on a variety of attributes, which are then subjected to a cluster analysis to recover the true clusters.

This approach is described in many of the general references in cluster analysis, such as Aldenderfer and Blash eld (1984), Hartigan (1975), or Jain and Dubes (1988) An alternative framework proposed by Corter (1996) considers the problem of representing a similarity matrix by a structure, such as an additive or ultrametric tree That is, the information within a matrix has a structure that can alternatively be captured in a representation with fewer parameters than are found in the original data matrix Pruzansky, Tversky, and Carroll (1982), using this approach, examined the properties of data matrices that would lead to the best t of spatial or tree representations Their approach was based on two distinct analyses First, arti cial data were generated by choosing points either randomly from a two-dimensional space or from a randomly generated tree Noise, at various levels, was then added to some of the data matrices.

Your product or service is at a certain level of quality Be sure to assess whether the customer s needs will be satisfied by the quality you offer It s possible, for example, that your product is well suited to the everyday customer but not of high enough caliber for the aficionado Therefore, you must either take on a higher-quality line to please these fussier customers or decide not to service that segment of the market And when your business is suffering or in a down economy, you must maintain consistent quality; one slipup could cause customers to try other sources Service Many, many customers today value service far more than they value quality Their attitude is basically, It doesn t have to be great, perfect, or even excellent; good or even okay will do But I m busy and I m pressured.

Not surprisingly, they found that multidimensional scaling algorithms, such as KYST (Kruskal & Wish, 1978), which generated a two-dimensional solution, resulted in a better t for the spatially generated data, whereas a clustering method,.

On the Wheel tab, you can set what happens when you roll the wheel on a wheel mouse. By default, rolling the wheel one notch scrolls the active document three lines at a time. You can change the number of lines to any number from 1 to 100, but keep in mind that scrolling a hundred lines at

Square root matrix: An (m x m) matrix B is a square root of the (m x m) matrix A if BB = A. It is denoted by 11 1/2 (See Section 6.1.4.)

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