Abstract
Cars do all get us from point A to B. But they can be small or big, slow, or fast, either spartan or with all the bells and whistles, and our experience during that travel can be greatly dictated by which car we use. Using specifications in the Top Gear PH website, we use unsupervised learning algorithms to cluster different car models.
From the Top Gear Philippines website, specifications of the featured cars will be gathered. Though, limited specifications can be selected as some of the cars do not have complete specifications published. Thus, only these specifications (e.g., engine type, horsepower, torque, displacement, etc.) will be used with the representative-based and hierarchical clustering methods available. From the validation of the method performance and result, the appropriate method and parameters will be selected. Lastly, the groupings of the result will be presented.
