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a product catalog, one could use the dissimilarity measure we introduce in the nextsection, that is able to handle missing values and mixed attribute types.The treemap approach has two drawbacks. First of all, the original treemap algorithmoften produces tall rectangles as results for small clusters or single items,which makes visualization of single products quite hard. This problem can be partlyovercome by using squarified treemaps [4] or, even better, quantum treemaps [2],which guarantee a certain aspect ratio for the rectangles representing the items. Thesecond drawback is that, although similar products are clustered together, there isno clear distance interpretation and ordering between clusters might be lost, that is,two quite similar products that are assigned to two different clusters might not beclose to each other in the map.
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