Abstract:
Nowadays, the application of data mining in
the healthcare industry is necessary. Data
mining brings a set of tools and techniques that
can be applied to discover hidden patterns that
provide healthcare professionals an additional
source of knowledge for making decisions. In
more detail, clustering the patients that have the
same status helps discovering new disease, but
the suitable number of clusters is not often
obvious. In this paper, we choose k-means, one
of the most popularly used clustering algorithms
in the research community, to improve, base on
the previous research of the others.
