Mining Customer's Data for Vehicle Insurance Prediction System using k-Means Clustering - An Application

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Provided by: Foundation for Interdisciplinary Research in Engineering (FIRE)
Topic: Data Management
Format: PDF
Data mining or mining customer's data helps to discover the key characteristics from the customer's data, and possibly use those characteristics for future prediction. The problem of selecting the \"Best\" algorithm/parameter setting is a difficult one. However k-Means clustering is an algorithm helps to classify or to group the objects based on attributes/features into k number of groups. A good clustering algorithm ideally should produce groups with distinct non-overlapping boundaries, although a perfect separation cannot typically be achieved in practice.
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