Density based clustering algorithms (DBCLAs) rely on the notion of density to identify
clusters of arbitrary shapes, sizes with varying densities. Existing surveys on DBCLAs cover …

The pocket concept describes aluminum-rich structure bounded by oxidizer particles in a
solid propellant. Al particles inside a pocket tend to coalesce into a single agglomerate at …

The evolution from network-centric commerce to e-commerce and e-business up to e-
enterprise and virtual enterprise is traced and explained in this discussion of the …

The main goal in cluster analysis is finding groups that naturally exist in any given data.
Conceptually, observations are generated from a Probability Density Function (PDF). The …

Proses untuk mengidentifikasi kejadian berdasarkan kebutuhan dikenal dengan istilah
event detection. Salah satu cara masyarakat berbagi informasi ialah dengan menggunakan …

Density based clustering algorithm (DENCLUE) is one of the primary methods for clustering
in data mining. The clusters which are formed based on the density are easy to understand …

In the literature there are many researches dealing with the data clustering techniques and
methods. In this paper, a detailed explanation of the current methods of data clustering will …