e/The iDistance Technique

Information
has gloss	eng: In pattern recognition, the iDistance is an indexing and query processing technique for k-nearest neighbor queries on point data in multi-dimensional metric spaces. The kNN query is one of the hardest problems on multi-dimensional data, especially when the dimensionality of the data is high. The iDistance is designed to process kNN queries in high-dimensional spaces efficiently and it is especially good for skewed data distributions, which usually occur in real-life data sets.
lexicalization	eng: The iDistance Technique
instance of	c/Classification algorithms

Media
media:img	Idistance.jpg