Since the mid-1990s, researchers have been trying to use machine-learning-based
approaches to solve a number of different compiler optimization problems. These …

This chapter characterises the scope of this book. It explains the reasons why one should be
interested in cluster analysis, lists major application areas, basic theoretical and practical …

Many problems in decision making, monitoring, fault detection, and control rely on the
knowledge of state variables and time-varying parameters that are not directly measured by …

Dataclusteringisacommontechniqueforstatis…, whichisusedin many? elds, including
machine learning, data mining, pattern recognition, image analysis and bioinformatics …

In this study, we present a comprehensive comparative analysis of kernel-based fuzzy
clustering and fuzzy clustering. Kernel based clustering has emerged as an interesting and …

For several years, parts of the content of this textbook have been used in undergraduate
courses in the Department of Mathematics and in the Faculty of Economics at the University …

Consistency is an essential factor affecting the operation of lithium-ion battery packs. Pack
consistency evaluation is of considerable significance to the usage of batteries. Many …

Проблема принятия решений в условиях неопределенности занимает важное место в
общей проблеме принятия решений. Успешное решение данной проблемы в …

This paper focuses on the impact of hedonic and utilitarian values of shop** on retail
agglomeration patronage issues, in particular on shop** behaviour and the perception of …

Partitioning a time-series into internally homogeneous segments is an important data-mining
problem. The changes of the variables of a multivariate time-series are usually vague and …