Image segmentation is of great importance in the field of image processing. K-means
clustering algorithm is widely used in image segmentation because of its computational …

The Robinson–Foulds (RF) distance is the most popular method of evaluating the
dissimilarity between phylogenetic trees. In this paper, we define and explore in detail …

In this paper, we consider the l1-clustering problem for a finite data-point set which should
be partitioned into k disjoint nonempty subsets. In that case, the objective function does not …

Hydrocephalus is a pathological condition of the central nervous system which often affects
neonates and young children. It manifests itself as an abnormal accumulation of …

Signal inhomogeneity in MRI can influence significantly automatic data processing like
segmentation, etc. or even affect the diagnostic procedure. In this work, a new method of …

In this paper the authors raise the issue of automatic discrimination of atherosclerotic
plaques within an artery lumen based on numerical and statistical thresholding of …

Climate change is causing increasingly frequent extreme events (including strong winds),
which are becoming an integral part of the natural environment. In 2017, from the 11th to …

Sažetak U ovom radu napravljena je usporedba algoritama za grupiranje podataka
primijenjenih na segmentaciju slike. Rad ukratko opisuje probleme grupiranja podataka i …