What is the purpose of point clouds in machine learning?
Consider the following suggestion: Say I have a table (per year) of records (such as days) each of which is made of n real numbers such as temperatures per hour). Can I use the table as a data point to do classification of the year as hot/cold or something like that?
Any real-world examples of point cloud data?