K-means is one of ten popular clustering algorithms. However, k-means performs poorly due
to the presence of outliers in real datasets. Besides, a different distance metric makes a …

The COVID-19 pandemic had a catastrophic impact on world health and economic. This is
attributed to the unavoidable delay in the diagnosis process, due to limitation of COVID-19 …

Many machine learning and data mining tasks are based on distance measures, so a large
amount of literature addresses this aspect somehow. Due to the broad scope of the topic …

Periocular recognition leverage from larger feature region and lesser user cooperation,
when compared against the traditional iris recognition. Moreover, in the current scenario of …

Automated glasses detection is a cardinal component in facial/ocular analysis that powers
forensic, surveillance and biometric authentication systems. Throughout literature, glasses …

Stocks are one of the investment instruments available in the capital market. Several indices
show the characteristics of stocks listed on the Indonesia Stock Exchange. IDX30 is one of …

In information theory—as well as in the adjacent fields of statistics, machine learning,
artificial intelligence, signal processing and pattern recognition—many flexibilizations of the …

Semantic similarity assessment between concepts is an important task in many language
related applications. In the past, many approaches to assess similarity of concepts have …

Sign languages is a critical requirement that helps deaf people to express their needs,
feelings and emotions using a variety of hand gestures throughout their daily life. This …

In the area of full-reference (FR) objective 'image quality assessment'(IQA), a huge amount
of improvement has been done in the last few years that can calculate image quality …