Clustering is the process of grou** the data based on their similar properties. Meanwhile,
it is the categorization of a set of data into similar groups (clusters), and the elements in each …

In this paper, a method is provided for content-based image retrieval. Content-based image
retrieval system searches query an image based on its visual content in an image database …

Data mining is a process which discovers patterns and retrieval knowledge in large
datasets. Many learning and data mining algorithms rely on distance metrics. Cluster …

Goodness-of-fit tests are important to assess if the model fits the data. In this paper we
investigate the Type I error and power of two goodness-of-fit tests for multinomial logistic …

This study aims to characterize the high frequency radar and numerically simulated low-
frequency filtered currents in the south-eastern Bay of Biscay (study area) using a K-means …

Висновки. Запропоновано аналітичну модель оцінки TDF-характеристик міографічних
сигналів для базових функціональних рухів кисті руки на основі одноканальної …

Fuzzy clustering aims to produce clusters that take into account the possible membership of
each dataset point in a particular cluster. Fuzzy C-Means Clustering Core and Reduct is a …

In this article, we summarize recent research examining concatenative synthesis and its
application and relevance in the composition and production of styles of electronic dance …

As medicine, herbal plants have been widely used since ancient times, and are still used
today. There are various types of herbal plants that can be used as medicine but due to the …

The basic idea of ssHC is to leverage domain knowledge in the form of triple-wise
constraints to group data into clusters. In this paper, we perform extensive experiments in …