Abstract:
Conventional database query methods are
inadequate to extract useful information from huge
data banks. Cluster analysis is one of the major data
analysis methods, and process of grouping a set of
physical or abstract objects into classes of similar
objects. A cluster is the collection of data objects that
are similar to one another within the same cluster
and are dissimilar to the objects in other clusters.
There are many approaches for clustering method.
Partitioning is the well-known and efficient
algorithm and K-Mean is the partitioning method
and widely used in many applications. In this paper,
K-means clustering method is used to find the
appropriate employee from many job seekers and
give that information to the employer to choose for
their work. The k-means clustering methods are
determining level of employee based on their
profiles. Thus, many companies are easy to find
appropriate employee for their work.
