We leverage widely used coherence scores by integrating them into a novel document-level clustering approach using keyword extraction methods. The metric by which most topic extraction methods optimize their hyperparameters is thus optimized during clustering, resulting in ultra-coherent clusters. Moreover...
They use different clustering protocols and are configured separately. Multiple WebLogic Server clusters can be associated with a Coherence cluster and a WebLogic Server domain can contain only a single Coherence cluster. Managed servers that are configured as Coherence cluster members are referred to ...
The results of sequence embedding clustering and differences in chain likelihood distributions (with and without the partner chain) demonstrated that TCRLang-Paired learns and considers information from both chains when making its predictions. In building TCRLang-Paired, we used the architecture ...
Term Document MatrixTF-IDFK MeansDocument ClusteringCosine SimilarityUnstructured Data is utilized in many major applications. It seems 80% of the data generated by various business applications are unstructured. Unstructured data can not be directly processed to generate information. Few major ...
(b) We apply clustering methods to the obtained encoding vectors to identify cyclic metastable brain states and analyze the changes in spatiotemporal self-organization characteristics across ages using metastable state and brain dynamic trajectory indicators. Specifically, we conduct group-based and ...
In a set of experiments on synthetic data, the coherence score is shown to provide a faithful reflection of topic clustering structure. The properties that make the coher- ence score more appropriate than lexical cohesion, a com- mon measure of topical structure, are discussed. Retrieval ...
Coherence-based time series clustering is also used to study brain connectivity [21]. Foster and Guinzy in [22] wrote that, as an estimate of this parameter, most geophysicists have used the “sample coherence” (as given in (3)). They have found that the “Goodman distribution provides ...
Coherence-based time series clustering is also used to study brain connectivity [21]. Foster and Guinzy in [22] wrote that, as an estimate of this parameter, most geophysicists have used the “sample coherence” (as given in (3)). They have found that the “Goodman distribution provides ...
Coherence-based time series clustering is also used to study brain connectivity [21]. Foster and Guinzy in [22] wrote that, as an estimate of this parameter, most geophysicists have used the "sample coherence" (as given in (3)). They have found that the "Goodman distribution provides a ...