An overview is given of prototype‐based models in machine learning. In this framework,
observations, ie, data, are stored in terms of typical representatives. Together with a suitable …

Thyroid disease is considered one of the most common health disorders, which may lead to
various health problems. Recent studies reveal that approximately 42 million people in India …

In this survey we present some of the most used data mining techniques in the field of
agriculture. Some of these techniques, such as the k-means, the k nearest neighbor, artificial …

The K‐nearest neighbor algorithm is one of the most frequently applied supervised machine
learning algorithms. Similarity computing is considered to be the most crucial and time …

In classification, regression, and other data mining applications, feature selection (FS) is an
important pre-process step which helps avoid advert effect of noisy, misleading, and …

The real-time acquisition of surrounding rock information is important for the efficient
tunneling and hazard prevention in tunnel boring machines (TBMs). This study presents an …

Feature Selection (FS) is an important preprocessing step that is involved in machine
learning and data mining tasks for preparing data (especially high-dimensional data) by …

The nearest neighbor classifier is one of the most used and well-known techniques for
performing recognition tasks. It has also demonstrated itself to be one of the most useful …

The study is aimed at particle sorting at the Copper Mountain Mine using XRF. Possible
applications include the rejection of barren material from mill feed, the rejection of pebbles in …

Background Stunting during childhood has long-term consequences on human capital,
including decreased physical growth, and lower educational attainment, cognition …