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 …

Data Mining is all about data analysis techniques. It is useful for extracting hidden and
interesting patterns from large datasets. Clustering techniques are important when it comes …

The energy generated by a solar photovoltaic (PV) system depends on uncontrollable
factors, including weather conditions and solar irradiation, which leads to uncertainty in the …

Alzheimer's disease (AD) is a complex form of dementia and due to its high phenotypic
variability, its diagnosis and monitoring can be quite challenging. Biomarkers play a crucial …

Reliable detection of anomalies without any prior information is a critical yet challenging task
in many applications, not least military and civilian fields. An intelligent anomaly detection …

Clustering is a major approach in data mining and machine learning and has been
successful in many real-world applications. Density peaks clustering (DPC) is a recently …

Today, maritime transportation represents a substantial portion of international trade.
Sustainable development of marine transportation requires systematic modeling and …

Maritime traffic routes by ships navigation vary according to country and geographic
characteristics, and they differ according to the characteristics of the ships. In ocean areas …

With the broad adoption of mobile devices, notably smartphones, keyword-based search for
content has seen increasing use by mobile users, who are often interested in content related …

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