knnx.index: knnx.index

In Fuzzy-Logix/AdapteR: Converts R syntax to SQL to provide fast analytics using in-database C++ library DB Lytix.

Description

k-Nearest Neighbour Indexes

Usage

knnx.index(data, query, k = 1, algorithm = "kd_tree", ...)

Arguments

data	input FLTable with pool space to search for
query	input search FLTable
k	number of neighbours considered.
algorithm	currently only brute is supported
...	additional parameters like dist Flag to get the distances as well.

Details

For each row of the test set, the k nearest (according to Euclidean distance metric) training set vectors are found and indices,distances are returned.

Value

FLMatrix of indices or a list of dist & index if dist FLag is true.

Examples

FLdeepTbl <- FLTable(getTestTableName("ARknnDevSmall"),"obsid","varid","num_val")
FLknnOutput <- knnx.index(FLdeepTbl,FLdeepTbl,k=2)
FLknnOutput

Fuzzy-Logix/AdapteR documentation built on May 6, 2019, 5:07 p.m.