CLUHSIC is a recent clustering framework that unifies the geometric, spectral and statistical views of clustering. In this paper, we show that the recently proposed discriminative view of clustering, which includes the DIFFRAC and DisKmeans algorithms, can also be unified under the CLUHSIC framework. Moreover, CLUHSIC involves integer programming and one has to resort to heuristics such as iter...

Artificial Neural Network in particular Self Organizing Map (SOM) has been widely used in clustering analysis operations. SOM maps high dimensional data space into two dimensions colored grid. The crisp clustering which employs one threshold to determine cluster boundaries has poor performance in many complex and high dimension data sets. In this paper to improve the performance of clustering a...

We present a new framework for large-scale data clustering. The main idea is to modify functional dimensionality reduction techniques to directly optimize over discrete labels using stochastic gradient descent. Compared to methods like spectral clustering our approach solves a single optimization problem, rather than an ad-hoc two-stage optimization approach, does not require a matrix inversion...

In the field of economics and business, the ever increasing amount of text documents written in different languages and the ever increasing dependence of people and organisations on such information require effective document retrieval, searching and classification mechanisms. Searching for groups of related documents has an important role in text mining and Document Management Systems. Swarm i...

A stochastic-optimization technique based on time series cluster analysis is described for Index Tracking and Enhanced Index Tracking problems. Our methodology solves the problem in two steps, i.e., by first selecting a subset of stocks and then setting the weight of each stock as a result of an optimization process (asset allocation). Present formulation takes into account constraints on the n...

shear wave velocity (vs) data are key information for petrophysical, geophysical and geomechanical studies. although compressional wave velocity (vp) measurements exist in almost all wells, shear wave velocity is not recorded for most of elderly wells due to lack of technologic tools. furthermore, measurement of shear wave velocity is to some extent costly. this study proposes a novel methodolo...

Energy consumption is considered as a critical issue in wireless sensor networks (WSNs). Batteries of sensor nodes have limited power supply which in turn limits services and applications that can be supported by them. An efcient solution to improve energy consumption and even trafc in WSNs is Data Aggregation (DA) that can reduce the number of transmissions. Two main challenges for DA are: (i)...

A mobile ad hoc network (MANET) is dynamic in nature and is composed of wirelessly connected nodes that perform hop-by-hop routing without the help of any fixed infrastructure. One of the important requirements of aMANET is the efficiency of energy, which increases the lifetime of the network. Several techniques have been proposed by researchers to achieve this goal and one of them is clusterin...