Basic Definition Euclidean distance: Relationship between data points:
{"Image DocumentName": "Basic Definition Euclidean distance: Relationship between data points:", "Image ImageDescription": "Basic Definition. Euclidean distance: Relationship between data points: Theorem 1: Let q be the query object, and Oi be the reference point for partition i, and p an arbitrary point in partition i. If dist(p, q) <= querydist(q) holds, then it follows that dist(Oi, q) \u2013 querydist(q) <= dist(Oi, p) <=dist(Oi,q) + querydist(q). In our work, we use Euclidean distance to measure the distance or similarity between two data points, and we also have the following relationships between data points. The last one is very important as it allows us to make iDistance GEOMETRY. From the pairwise relationship between data points and query point, we now define the theorem \u2013 which states if a query point is within the query distance, then we can find the point via its reference point.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}