In this paper we present a novel iterative multiphase clustering technique for efficiently clustering high dimensional data points. For this purpose we implement clustering feature (CF) tree on a real data set and a Gaussian density distribution constraint on the resultant CF tree. The post processing by the application of Gaussian density distribution function on the micro-clusters leads to re...

Biological reaction networks consist of many substances and reactions between them. Like many other biological systems, they have a modular structure. Therefore, a division of a biological reaction network into smaller units highly facilitates its investigation. The authors propose an algorithm to divide an ordinary differential equation (ODE) model of a biological reaction network hierarchical...

In this paper a new method for automatic segmentation of continuous speech into phone-like units is addressed. Our method is based on a very fast presegmentation algorithm which uses a new statistical modeling of speech and searching in a multilevel structure, called Dendrogram, for decreasing insertion rate. In each step the performance of algorithms have been tested over a large set of TIMIT ...

Six Iranian populations have been analyzed for finger patterns, utilizing bilateral prints of 720 individuals. Bimanual and sex differences were frequently insignificant and non-significant. Interpopulational variation showed significant hetererogeneity among the populations studied. Distance analysis and constructed dendrograms, based on these six populations and other thirteen Iranian populat...

An effective p-adic encoding of dendrograms is presented through an explicit embedding into the Bruhat-Tits tree for a p-adic number field. This field depends on the number of children of a vertex and is a finite extension of the field of p-adic numbers. It is shown that fixing p-adic representatives of the residue field allows a natural way of encoding strings by identifying a given alphabet w...

A conceptual framework for cluster analysis from the viewpoint of p-adic geometry is introduced by describing the space of all dendrograms for n datapoints and relating it to the moduli space of p-adic Riemannian spheres with punctures using a method recently applied by Murtagh (2004b). This method embeds a dendrogram as a subtree into the Bruhat-Tits tree associated to the p-adic numbers, and ...

Can we discover audio-visually consistent events from videos in a totally unsupervised manner? And, how to mine videos with different genres? In this paper we present our new results in automatically discovering audio-visual events. A new measure is proposed to select audio-visually consistent elements from the two dendrograms respectively representing hierarchical clustering results for the au...

Several studies have explored how co-expression module networks change between mouse tissues [1] and/or genders [2]. Here we re-analyze mouse liver samples of an F2 mouse intercross [3,4] to study whether “female” modules (i.e., modules found in a network based on female mice) are preserved in the corresponding male network. The data sets consist of 135 female and 124 male samples. The modules ...

Aim of the paper is to propose a segmentation technique based on the Bagged Clustering (BC) method. In the partitioning step of the BC method, B bootstrap samples with replacement are generated by drawing from the original sample. The Fuzzy C–Medoids Clustering (FCMdC) method is run on each bootstrap sample, obtaining (B×C) medoids and the membership degrees of each unit to the different cluste...