In this paper we analyze the relation between adults’ intonational categories as described in the ToBI framework and children’s intonation contours, using a parametric approach and cluster evaluation methods. In the field of prosody, an increasing number of studies on the development of intonation apply the intonational categories of adult speech described as a sequence of high (H) and low (L) ...

seed protein profiles of 47 accessions belonging to eleven species and four tribes of grain legumes were studied, by extracting the total proteins from ten single seeds in each accession and performing sds-polyacrylamide gel electrophoresis. all eleven species were clearly recognizable from their protein banding patterns, but only phaseolus vulgaris expressed high intraspecific variations, ...

Herschend-Liu-Nakaoka introduced the notion of n -exangulated categories. It is not only a higher dimensional analogue extriangulated categories defined by Nakaoka-Palu, but also gives simultaneous generalization -exact in sense Jasso and ( + 2 ) -angulated Geiss-Keller-Oppermann. Let C be an category with enough projectives injectives, X cluster tilting subcategory . In this article, we show t...

Gene expression data from human cytomegalovirus (HCMV)-infected cells were analyzed using DNA-Chip Analyzer (dChip) followed by singular value decomposition (SVD) and compared with a previous analysis of the same data that employed GeneChip software and a fold change filtering approach. dChip and SVD analysis revealed two clusters of coexpressed human genes responding differently to HCMV infect...

We present a method to automatically learn object categories from unlabeled images. Each image is represented by an unordered set of local features, and all sets are embedded into a space where they cluster according to their partial-match feature correspondences. After efficiently computing the pairwise affinities between the input images in this space, a spectral clustering technique is used ...

We present a method to automatically learn object categories from unlabeled images. Each image is represented by an unordered set of local features, and all sets are embedded into a space where they cluster according to their partial-match feature correspondences. After efficiently computing the pairwise affinities between the input images in this space, a spectral clustering technique is used ...

Recent work using cluster analysis of brain activity during movies revealed distinct clusters that respond to faces and different non-face categories in the fusiform face area (FFA). Because of the limited heterogeneity observed, these results could mean that the FFA contains one population of cells capable of representing multiple categories.

Cluster Accuracy: agreement with the functional categories Each entry shows the adjusted Rand index of the corresponding algorithm with the functional categories. The maximum adjusted Rand index of each row is shown in bold. The algorithms (rows) are sorted in descending order of the maximum adjusted Rand in each row. DIANA and single-link produce the least accurate clusters. *CAST did not conv...

The last revision of the EMAS (Eco Management and Audit Scheme) Regulation encouraged a cluster approach to increase the participation of the organizations and to involve local stakeholders in the commitment to sustainability. Our research activity intends to partially fill the literature gap in the field by investigating the Italian cluster approach to EMAS, characterized by the creation of a ...