However, the traditional clustering methods are designed with simplistic assumption of the data distribution that fails to cope with the documents with complex distribution and a small number of clusters i.e. , less than 50. In addition to this, the previous need a predetermined k . In this ...
The primary goal of this article is to identify the research fronts on the application of data-driven methods in business and economics. For this purpose, the research literature of the business and economic sciences Subject Categories from the Web of Sc
ClusteringPattern discoveryThe continuous exchange of information by means of the popular email service has raised the problem of managing the huge amounts of messages received from users in an effective and efficient way. We deal with the problem of email classification by conceiving suitable ...
6.AN EXPERIMENTAL STUDY OF LOCUS OF CATEGORY CLUSTERING IN STM;关于短时记忆中范畴群集的定位实验 7.Democracy is part of the superstructure and belongs to the realm of politics.民主属于上层建筑,属于政治范畴。 8.The Cognitive Study on Metaphors of Basic-level Animal Terms;动物基本层次范畴词隐喻的...
The present invention provides a programming model based on a relational view of the heap which defines identity declaratively, obviating the need for equals( ) and hashcode( ) methods. Each element in the heap (called a tuple) belongs t... M Vaziri-Farahani,F Tip,SJ Fink,... - US 被...
The prevalence of concomitant proteinopathies and heterogeneous clinical symptoms in neurodegenerative diseases hinders the identification of individuals who might be candidates for a particular intervention. Here, by applying an unsupervised clustering algorithm to post-mortem histopathological data from 895 pa...
A top-down clustering method and apparatus recursively processes clusters of documents by first extracting features from the documents comprising the cluster, then using the extracted features to generate sub-clusters and finally using the generated sub-clusters to develop topics and identifiers for each...
These processes contribute to the evolution of word meaning beyond conventional clustering models, transitioning from concrete to abstract and from literal to figurative interpretations. 展开 关键词: COGNITIVE linguistics SEMANTICS CHINESE language POLYSEMY ENGLISH language ...
This paper contributes to the existing literature on multinomial models, hierarchical data and unsupervised clustering by proposing an innovative multinomial model with discrete random effects. In the framework of generalized linear models, multinomial outcomes have traditionally been treated separately from ot...
Methods). The head-fixed task differed from the freely moving, touch screen task in two aspects. First, in each trial, only a single stimulus was shown at a specific location on the monitor. Second, the mouse had to explicitly report the category of the stimulus by licking on one of ...