Enhancement Clustering of Cloud Datasets using Improved Agglomerative Technique Prof. Madhuri h Parekh Smt. J.J.Kundaliya Commerce College, Rajkot, Gujarat, India. Email: [email protected] ----------------------------------------------------------------------ABSTRACT------------------------------------------------------------Cloud computing is the latest technology that delivers computing...

Abstract This study adopts a corpus-based behavioral profile approach, combining multifactorial usage-feature analysis with frequency-based quantitative analysis, to investigate the diachronic semasiological variation of Mandarin Chinese temperature term 热 re ‘hot’. The result shows dynamic profile, i.e., both usage patterns and structural weight senses have been constantly shifting. semasiolog...

This paper describes the participation of the PanMorCresp team in the Multilingual Web Person Name Disambiguation task of IberEval 2017. The solutions consisted of different variants of the traditional hierarchical agglomerative clustering algorithm. The four approaches have been defined and implemented independently by three Master’s students over the same vocabulary generation software. The p...

In recent years, the study of community detection in social networks has received great attention. The hierarchical structure of the network leads to the emergence of the convergence to a locally optimal community structure. In this paper, we aim to avoid this local optimum in the introduced hybrid hierarchical method. To achieve this purpose, we present an objective function where we incorpora...

The main purpose of this study was to further the understanding of schizotypy by investigating which of two schizotypy models best describes the construct. The quasi-dimensional model views schizotypy as related to psychological ill-health, whereas the fully dimensional model views schizotypy as fundamentally neutral. A schizotypy measure, the Oxford–Liverpool Inventory of Feelings and Experien...

Symbolic Data Analysis (SDA) aims to to describe and analyze complex and structured data extracted, for example, from large databases. Such data, which can be expressed as concepts, are modeled by symbolic objects described by multivalued variables. In the present paper we present a new distance, based on the Wasserstein metric, in order to cluster a set of data described by distributions with ...