Data clustering is a commonly used data processing technique in many fields, which divides
objects into different clusters in terms of some similarity measure between data points …

Cluster analysis is an essential tool in data mining. Several clustering algorithms have been
proposed and implemented, most of which are able to find good quality clustering results …

Understanding the energy consumption patterns of buildings and investing efforts toward
energy load reduction is important for optimizing resources and conserving energy in …

The goal of supervised learning is to build a concise model of the distribution of class labels
in terms of predictor features. The resulting classifier is then used to assign class labels to …

Malware can be defined as any type of malicious code that has the potential to harm a
computer or network. The volume of malware is growing faster every year and poses a …

As the world becomes increasingly connected, it is also more exposed to a myriad of cyber
threats. We need to use multiple types of tools and techniques to learn and understand the …

It discusses the fundamentals as well as the advances in digital image processing and
analysis-both theory and practice-to fulfil the needs of students pursuing courses in …

Pattern recognition (PR) is the study of how machines can examine the environment, learn
to distinguish patterns of interest from their background, and make reliable and feasible …

Although the algorithms for cluster analysis are continually improving, most clustering
algorithms still need to set the number of clusters. Thus, this study proposes a novel dynamic …

The presence of mobile devices has increased in our lives offering almost the same
functionality as a personal computer. Android devices have appeared lately and, since then …