Several arguments suggest that quasars at z > 4 may be in the cores of future giant ellipticals, and forming at the very highest peaks of the primordial density field. A strong bias-driven primordial clustering is then expected in these fields, which are naturally interpreted as the cores of future rich clusters. High-redshift quasars can thus be used as markers of some of the earliest galaxy f...

In hierarchical models, density fluctuations on different scales are correlated. This induces correlations between dark halo masses, their formation histories, and their larger-scale environments. In turn, this produces a correlation between galaxy properties and environment. This correlation is entirely statistical in nature. We show how the observed clustering of galaxies can be used to quant...

In this study we apply hierarchical spectral partitioning of bipartite graphs to a Dutch dialect dataset to cluster dialect varieties and determine the concomitant sound correspondences. An important advantage of this clustering method over other dialectometric methods is that the linguistic basis is simultaneously determined, bridging the gap between traditional and quantitative dialectology. ...

This paper introduces an innovative approach for detecting a suboptimal partition starting from the dendrogram produced by a hierarchical clustering techinique. The approach exploits permutation tests and it can be used regardless of the agglomeration method and distance measure used in the classification process because it relies on the same criteria used for producing it. Moreover, the propos...

This paper describes the systems developed by the Center for Robust Speech Systems (CRSS), Univ. of Texas Dallas, for the National Institute of Standards and Technology (NIST) iVector challenge. Since the emphasis of this challenge is on utilizing unlabeled development data, our system development focuses on: 1) unsupervised clustering methods to estimate development data labels; 2) build effic...

In this paper a clustering algorithm for documents is proposed that adapts a sampling-based pruning strategy to simplify hierarchical clustering. The algorithm can be applied to any text documents data set whose entries can be embedded in a high dimensional Euclidean space in which every document is a vector of real numbers. This paper presents the results of an experimental study of the propos...

Experiments on an array of 64 globally coupled chaotic electrochemical oscillators were carried out. The array is heterogeneous due to small variations in the properties of the electrodes and there is also a small amount of noise. Over some ranges of the coupling parameter, dynamical clustering was observed. The precision-dependent cluster configuration is analyzed using hierarchical cluster tr...

This paper presents various Hierarchical Clustered based routing protocols of the WSN in the literature and explains its benefits. These protocols are designed to prolong the lifetime of network by minimizing the energy consumption of the sensor nodes. We scrutinize and compare several aspects and characteristics of few widely explored hierarchical clustering protocols, and its processes in wir...