Clustering is an important unsupervised classification technique where a set of patterns, usually vectors in multidimensional space, are grouped into clusters based on some similarity or dissimilarity criteria. In crisp clustering, each pattern is assigned to exactly one cluster, whereas in fuzzy clustering, each pattern is given a...

The 6th International Conference on Data...

This Springer Laboratory volume introduces the reader to advanced techniques for the separation and fractionation of polyolefins. It includes detailed information on experimental protocols and procedures, addressing the experimental background of different polyolefin fractionation techniques in great detail. The...

Everything a signal and image processing engineer needs to know about distributed source coding - theorems, practical algorithms for design and the latest applications.

The advent of wireless sensor technology and ad-hoc networks has made DSC a major field of interest. Edited and written by the leading players in the field,...

In spite of its vast usage, understanding and proper usage of pointers remains a significant...

Studying and using light or "photons" to image and then to control and transmit molecular information is among the most challenging and significant research fields to emerge in recent years. One of the fastest growing areas involves research in the temporal imaging of quantum phenomena, ranging from molecular dynamics in the femto...

Rough path analysis provides a fresh perspective on Ito's important theory of stochastic differential equations. Key theorems of modern stochastic analysis (existence and limit theorems for stochastic flows, Freidlin-Wentzell theory, the Stroock-Varadhan support description) can be obtained with dramatic simplifications. Classical...