A function that finds the local outlier factor (Breunig et al.,2000) of
the matrix "data" using k neighbours. The local outlier factor (LOF) is a measure of outlyingness
that is calculated for each observation. The user decides whether or not an observation
will be considered an outlier based on this measure. The LOF takes into consideration
the density of the neighborhood around the observation to determine its outlyingness.
Usage
LOF(data, k)
Value
lof
A vector with the local outlier factor of each observation
Arguments
data
The data set to be explored
k
The kth-distance to be used to calculate the LOF's.
Author
Caroline Rodriguez
Details
The LOFs are calculated over a range of values, and the max local outlier factor
is determined over this range.
References
Breuning, M., Kriegel, H., Ng, R.T, and Sander. J. (2000).
LOF: Identifying density-based local outliers. In Proceedings of the ACM SIGMOD
International Conference on Management of Data