High‐dimensional data in Euclidean space pose special challenges to data mining
algorithms. These challenges are often indiscriminately subsumed under the term 'curse of …

High‐dimensional data, ie, data described by a large number of attributes, pose specific
challenges to clustering. The so‐called 'curse of dimensionality', coined originally to …

Often considered more as an art than a science, the field of clustering has been dominated
by learning through examples and by techniques chosen almost through trial-and-error …

Online reviews significantly impact consumers' decision-making process and firms'
economic outcomes and are widely seen as crucial to the success of online markets. Firms …

Forestry work involves scientific management and the effective utilization of forest land
resources, and finding economical, efficient and accurate acquisition methods for forest land …

The curse of dimensionality causes the well-known and widely discussed problems for
machine learning methods. There is a hypothesis that using the Manhattan distance and …

Wind energy is an inexhaustible energy source and wind power production has been
growing rapidly in recent years. However, wind power has a non-schedulable nature due to …

How do we accurately browse a large set of images or efficiently annotate the images from
an image library? Image clustering methods are invaluable tools for applications such as …

Corporate information systems (IS) functions have become ever closer and more intertwined
with firms' marketing functions. Marketing technology and e-commerce implementations …

In wind energy conversion systems, a power curve links the wind speed to the power
produced by a wind turbine and an accurate power curve model helps wind power providers …