
## KernelKnn 1.0.8

I added the *DARMA_64BIT_WORD* flag in the Makevars file to allow the package processing big datasets


## KernelKnn 1.0.7

I modified the *input_dist_mat* function of the *distance_metrics.cpp* file due to a bug.
I modified  the *distMat.KernelKnn* function so that it does not return an error if the rows of the *DIST_mat* distance matrix is not equal to the length of *y* (added comments in the function documentation).


## KernelKnn 1.0.6

In this version the following functions/parameters were added:

* *seed_num* : parameter in *KernelKnnCV* and *distMat.KernelKnnCV* cross-validation functions, which specifies the seed of R's random number generator 
* *distMat.KernelKnn* : this function performs kernel k-nearest-neighbor search by using a *distance matrix* as input
* *distMat.knn.index.dist* : this function returns the indices and distances for k-nearest neighbors using a distance matrix
* *distMat.KernelKnnCV* : this function performs cross-validated kernel k-nearest-neighbor search using a distance matrix as input

I also modified the *OpenMP* clauses of the .cpp file to address the ASAN errors.


## KernelKnn 1.0.5

I removed *OpenImageR* and *irlba* as package dependencies. I also added an *init.c* file in the *src* folder due to a change in CRAN submissions for compiled code [  *references* : http://stackoverflow.com/questions/42313373/r-cmd-check-note-found-no-calls-to-r-registerroutines-r-usedynamicsymbols, https://github.com/RcppCore/Rcpp/issues/636  ]


## KernelKnn 1.0.4

I added a try-catch Rcpp function to make possible the calculation of singular covariance matrices as sugggested in https://github.com/mlampros/KernelKnn/issues/1


## KernelKnn 1.0.3

Reimplementation of the Rcpp function due to ASAN-memory-errors


## KernelKnn 1.0.2

I updated the Description file with a URL and a BugReports web-address.


## KernelKnn 1.0.1

Currently, Software platforms like OSX do not support openMP, thus I've made openMP optional for all cpp functions.


## KernelKnn 1.0.0




