Abstract:
Clustering is a typical unsupervised
learning technique for grouping similar data
points. In hard clustering, data is divided into
distinct clusters, where each data element belongs
to exactly one cluster. In fuzzy clustering (also
referred to as soft clustering), data elements can
belong to more than one cluster, and associated
with each element is a set of membership levels.
Fuzzy clustering algorithm can be optimized by
genetic algorithms, which are popular
evolutionary algorithm and can be used to search
for large search space.This paper used genetic
algorithm based fuzzy clustering for news web
page clustering. Web documents are preprocessed
and features are selected from the web page
content, and they are clustered by the genetic
algorithm based fuzzy clustering algorithm.The
experimental result with various features is
presented.
