A general parametric scheme of hierarchical clustering procedures with invariance under monotone transformations of similarity values and invariance under numeration of objects is described. This scheme consists of two steps: correction of given similarity values between objects and transitive closure of obtained valued relation. Some theoretical properties of considered scheme are studied. Dif...

The processing and management of XML data are popular research issues. However, operations based on the structure of XML data have not received strong attention. These operations involve, among others, the grouping of structurally similar XML documents. Such grouping results from the application of clustering methods with distances that estimate the similarity between tree structures. This pape...

I describe a semi-analytical model for the formation and evolution of galaxies in hierarchical clustering models, and its predictions for the properties of the galaxy population at high z. The predictions are found to agree well with the observed properties of the Lyman break galaxies found at z ∼ 3 by Steidel et al. . The models predict that the star formation rate per comoving volume should h...

Clustering is a discovering process of meaningful intbrmation by grouping similar data into compact clusters. Most of traditional clustering methods are in favor of small datasets and have difficulties handling very large datasets. They are not adequate clustering methods for partitioning huge datasets in data mining perspective. We propose a new clustering technique, HRC(hierarchical represent...

Population pyramid is a very popular presentation of the age-sex distribution of the human population of a particular region. The shape of the pyramid shows many demographic, social, and political characteristics of the time and the region. In the paper results of hierarchical clustering of the world countries based on population pyramids are presented. Special attention is given to the shapes ...

In this paper, we conduct a series of exploratory analyses on the user-recommended usages of music as generated by 1,042 reviewers who have posted to www.epinions.com. Using hierarchical clustering methods on data derived from the co-occurrence analyses of usage and genre, usage and artist, and usage and album, we are able to conclude that further investigation of user-recommended usage metadat...

Although clustering under constraints is a current research topic, a hierarchical setting, in which a hierarchy of clusters is the goal, is usually not considered. This paper tries to fill this gap by analyzing a scenario, where constraints are derived from a hierarchy that is partially known in advance. This scenario can be found, e.g., when structuring a collection of documents according to a...

This paper proposes a novel approach to group SPARQL query results according to their similarities. In order to compare results, the originality of our approach is to consider for each result the data constituting this result such as they are present and arranged in the queryed RDF dataset. We therefore do not limit ourselves to comparing the results between them, but we recontextualize them in...

This paper presents a supervised variable selection method applied to regression problems. This method selects the variables applying a hierarchical clustering strategy based on information measures. The proposed technique can be applied to single-output regression datasets, and it is extendable to multi-output datasets. For single-output datasets, the method is compared against three other var...

A new robust fuzzy regression clustering method is proposed. We estimate coefficients of a linear regression model in each unknown cluster. Our method aims to achieve robustness by trimming a fixed proportion of observations. Assignments to clusters are fuzzy: observations contribute to estimates in more than one single cluster. We describe general criteria for tuning the method. The proposed m...