Abstract:
The main goal of this thesis is to study two clustering methods practically.
The aims of practical study are to find out the capabilities of these two
methods in clustering the breast cancer data set.
Many clusters have been generated using both k-means and Two-step.
Extensive comparisons have been conducted. The main conclusion is that
these two methods generate different clusters.
The main reason could be the difference in their strategies. Further, studies
are needed to find more reasons.
