semantic clusteringWe describe a system that performs semantic Question Answering based on the combination of classic Information Retrieval methods with semantic ones. First, we use a search engine to gather web
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...
functional (semantic) relations or a combination of both1,2. Learned category representations help animals and humans to react to novel experiences because they facilitate extrapolation from knowledge already acquired3,4. Learning and recalling of categories activates a large number of brain areas, incl...
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 ...
Equally crucial is the formulation of effective strategies to mitigate churn, thereby enhancing customer satisfaction, retention, and overall profitability. Within the framework of this work, clustering techniques were deployed alongside machine learning methodologies. This combination helped achieve a balance...
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...
We also carried out a two-way (gene expression and ALT) clustering analysis using software Cluster [35] for each of the 5 sets from A LB (0.1). Heat maps are provided in the additional file 3. One can see that liver and blood have different patterns of gene expression, supporting our...
An important problem for information access systems is that of organizing large sets of documents that have been retrieved in response to a query. Text categorization and text clustering are two natural language processing tasks whose results can be applied to document organization. This chapter descri...
et al. Database of NIH grants using machine-learned categories and graphical clustering. Nat Methods 8, 443–444 (2011). https://doi.org/10.1038/nmeth.1619 Download citation Published27 May 2011 Issue DateJune 2011 DOIhttps://doi.org/10.1038/nmeth.1619 Subjects Databases Economics Machine ...
6167397Method of clustering electronic documents in response to a search query2000-12-26Jacobson et al.707/5 Attorney, Agent or Firm: BRAKE HUGHES BELLERMANN LLP Parent Case Data: RELATED APPLICATION This application claims priority under 35 U.S.C. §119 based on U.S. Provisional Application ...