Similarity. The method of defining the “similarity” measure and determining which objects are similar and which are not, depends heavily on the application of the clustering procedure. Similarly, there is no standard way to eval- uate the performance of a given cluster configuration. Rather, a “good” clustering is determined by the context in which the analysis will be used. Also, even though in some cases the underlying idea might be the same, mathematically defining the “similarity” measure and the performance of a given cluster configuration is also dependent on the representation of the input data.
Similarity. Customer acknowledges that MarkLogic may create original works for third-parties that may appear similar to Work Product provided hereunder. Customer agrees that, so long as such original work does not embody and is not created with reference to any of Customer’s Confidential Information or any portion of the Customer Technology, MarkLogic will not be prevented from independently creating original, but similar, works for the benefit of third-parties.
