Wyniki wyszukiwania

Wyszukiwano:
w słowach kluczowych: sample size reduction

Sortuj według:

Ogranicz wyniki do:

An algorithm for reducing the dimension and size of a sample for data exploration procedures

100%

Kulczycki P., Łukasik S.

International Journal of Applied Mathematics and Computer Science

2014

tom 24

nr 1

133-149

The paper deals with the issue of reducing the dimension and size of a data set (random sample) for exploratory data analysis procedures. The concept of the algorithm investigated here is based on linear transformation to a space of a smaller dimension, while retaining as much as possible the same distances between particular elements. Elements of the transformation matrix are computed using the metaheuristics of parallel fast simulated annealing. Moreover, elimination of or a decrease in importance is performed on those data set elements which have undergone a significant change in location in relation to the others. The presented method can have universal application in a wide range of data exploration problems, offering flexible customization, possibility of use in a dynamic data environment, and comparable or better performance with regards to the principal component analysis. Its positive features were verified in detail for the domain's fundamental tasks of clustering, classification and detection of atypical elements (outliers).

Ograniczanie wyników

1 International Journal of Applied Mathematics and Computer Science

1 Kulczycki P.

1 Łukasik S.

1 2014

Wyniki wyszukiwania

An algorithm for reducing the dimension and size of a sample for data exploration procedures