The K-Mode algorithm is known for applications on categorical datasets but with few drawbacks like selecting random k value, efficiency on cluster accuracy and so on. This paper provides research study on extension and modification of K-mode algorithm to provide good initial starting mean to get better clusters with better accuracy results on categorical data domains. The proposed algorithm has...

in a supply chain, cross-docking is one of the most innovative systems for ameliorating the operational performance at distribution centers. cross-docking is a logistics strategy in which freight is unloaded from inbound trucks and (almost) directly loaded into outbound trucks, with little or no storage in between, thus no inventory remains at the distribution center. in this paper, we consider...

It is an important problem to compute the geodesics on a surface in many fields. To find the geodesics in practice, however, the traditional discrete algorithms or numerical approaches can only find a list of discrete points. The first author proposed in 2010 a new, elegant and accurate method, the geodesic-like method, for approximating geodesics on a regular surface. This paper will present b...

The presence of outliers in time series can seriously affect the model specification and parameter estimation. To avoid these adverse effects, it is essential to detect these outliers and remove them from time series. By the Bayesian statistical theory, this article proposes a method for simultaneously detecting the additive outlier (AO) and innovative outlier (IO) in an autoregressive moving-a...