Molecular descriptors have been explored extensively. From these studies, it is known that a large number of descriptors are strongly correlated and capture similar characteristics of molecules. In this paper, we evaluate 919 Dragon-descriptors of 6 different categories by means of clustering. Also, we analyze these different categories of descriptors also find a subset of descriptors which are...

Nurses in a hospital located in Southern US were surveyed to determine their perceptions of the reward structures existent in their hospital. Reward structures were divided into two categories: extrinsic and intrinsic. The cluster analysis procedure partitioned the sample into two clusters based on their level of satisfaction with the hospital’s reward structure. The analysis of variance proced...

A method is proposed that combines dimension reduction and cluster analysis for categorical data by simultaneously assigning individuals to clusters and optimal scaling values to categories in such a way that a single between variance maximization objective is achieved. In a unified framework, a brief review of alternative methods is provided and we show that the proposed method is equivalent t...

A 2-way clustering approach to multiple correspondence analysis is proposed to account for cluster-level heterogeneity of both respondents and variable categories in multivariate categorical data. Specifically, in the proposed method, multiple correspondence analysis is combined with k-means in a unified framework in which k-means is applied twice to partition the object scores of respondents a...

Developmental differences in recall were investigated as a function of mode of presentation (blocked vs. random), recall condition (cued vs. noncued), and time of recall (immediate vs. delayed). Ninety-six second graders and 96 fourth graders were the subjects, and the stimuli were 20 pictured items from five categories. Data on three dependent variables (item recall, category recall, and clust...

This paper presents the results of an experimental implementation of a document classifier leveraging contextual word embeddings clustered on a self-organizing map. The problem of document categorization is further compounded when there are no predefined categories, or conversely there are too many categories, that documents may be bucketed into. This paper proposes to address these problems by...

We define Bernstein-Gelfand-Ponomarev reflection functors in the cluster categories of hereditary algebras. They are triangle equivalences which provide a natural quiver realization of the ”truncated simple reflections” on the set of almost positive roots Φ≥−1 associated to a finite dimensional semisimple Lie algebra. Combining with the tilting theory in cluster categories developed in [4], we ...

The canonical forms associated to scattering amplitudes of planar Feynman diagrams are interpreted in terms masses projectives, defined as the modulus their central charges, hearts certain $t$-structures derived categories quiver representations and, equivalently, cluster tilting objects corresponding categories.

We define Bernstein-Gelfand-Ponomarev reflection functors in the cluster categories of hereditary algebras. They are triangle equivalences which provide a natural quiver realization of the ”truncated simple reflections” on the set of almost positive roots Φ≥−1 associated to a finite dimensional semisimple Lie algebra. Combining with the tilting theory in cluster categories developed in [4], we ...