Product Data Clustering using Weighted Similarity Measure
Journal Title: International journal of Emerging Trends in Science and Technology - Year 2017, Vol 4, Issue 9
Abstract
In market basket analysis user ranking of products is very important in addition to the values of attributes of objects. Similarity based comparison between objects play a very important role in many business operations such as ranking of objects with respect to the preferences of customers, finding a set of top-k objects in ranking order, and finding a set of k-nearest neighbor objects in ranking order and so on present study proposes a new similarity finding measure between objects. This measure computes weighted sums of values of attributes and priority values of respective values of attributes. These weighted sums are computed using a linear function formula. Finally a new clustering technique is proposed for clustering market basket analysis products using newly proposed similarity search measure between two objects new clustering technique based on new similarity finding measure is very useful in many real time applications and in many very large database operations including query execution
Authors and Affiliations
Dr. S. Aquter Babu
Keywords
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