Consensus clustering is the problem of reconciling clustering information about the same data set coming from different sources or from different runs of the same algorithm. Cast ...
Accurate demand forecasting remains difficult and challenging in today's competitive and dynamic business environment, but even a little improvement in demand prediction may ...
Fuzzy C-Means (FCM) and hard clustering are the most common tools for data partitioning. However, the presence of noisy observations in the data may cause generation of completely ...
Mohammad Hossein Fazel Zarandi, Milad Avazbeigi, I...
Abstract—We have developed an intuitive method to semi-automatically explore volumetric data in a focus-region-guided or valuedriven way using a user defined ray through the 3D ...
Insoo Woo, Ross Maciejewski, Kelly P. Gaither, Dav...
In this paper we focus on high dimensional data sets for which the number of dimensions is an order of magnitude higher than the number of objects. From a classifier design standp...