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aspirations or taste. The extent to which fashion marketers are able to in uence problem recognition is ercely debated. Whether marketers create needs is the question often asked. Blackwell et al. (2006) argue that marketers do not create needs, they show consumers better ways of satisfying pre-existing needs. For example, high-status needs can be satis ed by any number of different purchases or activities. The fact that a fashion advertiser captures the imagination of some consumers and secures purchases probably has more to do with the understanding of those needs and careful design of a message than the creation of the needs in the rst place. Many powerful social forces operate in society of which advertising is only one and one not often held in very high regard. Advertising both re ects and in uences societal values towards consumption. If it were truly able to create needs and exert such a powerful in uence then it has been an outstanding failure in the world of fashion. Having become aware of a need, the consumer re ects on the situation and can decide to proceed with the purchase process and collect information, defer the purchase or conclude that the problem is insign i cant or cannot be solved. In deciding to proceed, the consumer reviews information already held in memory. This includes knowledge of brands and stores where solutions may be found. Inexperience or unsatisfactory prior purchases may cause external information sources to be consulted. External sources include personal sources such as friends, neutral sources such as a television programme on eveningwear, or fashion marketing sources such as a window display or a poster advertisement. These three main external types of information sources are usually regarded with different degrees of credibility by the consumer.

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In 1994 research criteria for Binge Eating Disorder (BED) were described in Appendix B of DSM-IV (APA, 1994). These criteria made it possible to carry out treatment studies (de Zwaan, 2001). No systematic reviews of treatment studies have been published. Four double-blind placebo-controlled trials involving medication were done. In three, SSRIs were prescribed; in one, dexfen uramine, a serotonin agonist. Fen uramine was taken off the market in many countries because of the serious side effects. In the controlled trial dexfen uramine performed better than placebo in reducing the frequency of binge episodes in overweight women with binge eating disorder, but no effect was left after follow-up and it did not lead to weight loss (Stunkard et al., 1996). Fluoxetine (60 mg daily) improved dietary intake in overweight women with and without BED, but it did not affect their binge frequency or mood (Greeno & Wing, 1996). Fluvoxamine, to a maximum of 300 mg daily, reduced body weight and the frequency of binges signi cantly better than placebo in a multicentre trial (Hudson et al., 1998).

cihj = min{d(oh , oj ), ej } d(oi , oj ). 3. If d(oi , oj ) > d(L, oj ) (i.e., oj is more distant from oi than from at least one other selected object) and d(oh , oj ) < d(L, oj ) (which means that oj is closer to oh than to any selected object), then cihj = d(oh , oj ) d(S, oj ). The cost of the swap is C(oi , oh ) = oj R cihj . The pair that minimizes C(oi , oj ) is selected. If C(oi , oj ) < 0, then the swap is carried out. All potential swaps are considered. The algorithm halts when no useful swap exists, that is, no swap with negative cost can be found. The pseudocode of the algorithm is k means PAM{ construct the set L of k medoids; repeat compute the costs C(oi , oh ) for oi L and oh R; select the pair (oi , oh ) that corresponds to the minimum m = C(oi , oh ); until (m > 0); } Note that inside the loop repeat . . . until there are l(n l) pairs of objects to be examined and for each pair we need to involve n l nonselected objects. Thus, one execution of the loop requires O(l(n l)2 ) and the total execution may require up to n l 2 4 O l=1 l(n l) , which is O(n ). Thus, the usefulness of PAM is limited to rather small data set (no more than a few hundred objects).

7.5.1.2 Random Walks Random walks, also called Wiener processes, are cumulative sums of white-noise processes fwk g: jk jk 1 wk 1 ; 7:73

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