In this paper, we have defined rough statistical convergence in intuitionistic fuzzy normed spaces which is an useful characterization the field of convergence. We proved some properties related to provides new functional tools situation uncertainty like spaces. Further, established relationship between set limit points and cluster statistically convergent sequences these

It is known that many (upper) cluster algebras possess different kinds of good bases which contain the monomials and are parametrized by tropical points Poisson varieties. For a large class upper (injective-reachable ones with full rank coefficients), we describe all its these properties. Moreover, show existence generic basis for them. In addition, prove Bridgeland's representation theoretic f...

This paper demonstrates how standard cluster algorithms likeK-means or partitioning around medoids can be modified such that the final solution fulfills group constraints, which specify that certain data points must be or may not be in the same cluster. An extensible software implementation for the R statistical computing environment is presented that allows user-specified group constraints for...

The presence of clusters in a data set is sometimes due to the existence of certain relations among the measured variables which vary depending on some hidden factors. In these cases, observations could be grouped in a natural way around linear and nonlinear structures and, thus, the problem of doing robust clustering around linear affine subspaces has recently been tackled through the minimiza...

Seminars for useful comments. *** The main portions of the paper that have not yet been performed and/or written up are: (1) the empirical results related to return volatility and credit ratings have been performed (and are entirely consistent with those presented) but not yet written up; and (2) some statistical tests have not been performed and all statistical tests do not incorporate the usu...

Event-related fMRI can access more complex experimental paradigms than traditional block designs. A new problem, however, becomes the data analysis, i.e., the generation of appropriate statistical models. For parametric paradigms where a set of parameters describing task and stimulus can be varied, the number of diierent conditions becomes large. Even if the combinatorics of contrasts between c...

The segmentation of urban scene mobile laser scanning (MLS) data into meaningful street objects is a great challenge due to the scene complexity of street environments, especially in the vicinity of street objects such as poles and trees. This paper proposes a three-stage method for the segmentation of urban MLS data at the object level. The original unorganized point cloud is first voxelized, ...