Can anyone tell me the difference between the following in data mining? I am taking a class this semester and the professor is using the terms so frequently, I don't know what these mean anymore.
- Data point
An attribute is usually synonymous with feature, both of which refer to a single dimension. A data point probably refers to a complete record. That is, a data point is a collection of features.
For example, imagine we have a bunch of data on people and we want to classify each one as being male or female. Specifically, for each person (record), we have the following attributes (features): height, weight, and eye color. A data point would be one person's 3-dimensional record (e.g. [74in, 200lbs, brown] or [61, 125, blue]).