Modified FPF algorithm for clustering the web
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Abstract
Clustering is a widely used technique to partition data in homogeneous groups. It finds applications to Web text and video information
retrieval. The main goal of clustering algorithms is to discover the hidden structure of data and group them without any a-priori knowledge of the
data domain. Clustering is often used for exploratory tasks. In this paper we survey the principal strategies for clustering, the main clustering
objective functions and related algorithms, first we discussed FPF algorithm for the k-center problem then we improved the Furthest-point-first
algorithm in terms of speed and quality.
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Keywords : Clustering, k-center, k-means, FPF algorithm
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