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Pairwise distance between two sets of observations

`D = pdist2(X,Y,Distance)`

`D = pdist2(X,Y,Distance,DistParameter)`

`D = pdist2(___,Name,Value)`

`[D,I] = pdist2(___,Name,Value)`

returns the distance using the metric specified by `D`

= pdist2(`X`

,`Y`

,`Distance`

,`DistParameter`

)`Distance`

and `DistParameter`

. You can specify
`DistParameter`

only when `Distance`

is `'seuclidean'`

, `'minkowski'`

, or
`'mahalanobis'`

.

specifies an additional option using one of the name-value pair arguments
`D`

= pdist2(___,`Name,Value`

)`'Smallest'`

or `'Largest'`

in
addition to any of the arguments in the previous syntaxes.

For example,

`D = pdist2(X,Y,Distance,'Smallest',K)`

computes the distance using the metric specified by`Distance`

and returns the`K`

smallest pairwise distances to observations in`X`

for each observation in`Y`

in ascending order.`D = pdist2(X,Y,Distance,DistParameter,'Largest',K)`

computes the distance using the metric specified by`Distance`

and`DistParameter`

and returns the`K`

largest pairwise distances in descending order.

`[`

also returns the matrix `D`

,`I`

] = pdist2(___,`Name,Value`

)`I`

using any of the arguments in the
previous syntaxes. The matrix `I`

contains the indices of the
observations in `X`

corresponding to the distances in
`D`

.

`ExhaustiveSearcher`

| `KDTreeSearcher`

| `createns`

| `knnsearch`

| `pdist`

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