Titlebook: Advances in Knowledge Discovery and Data Mining; 13th Pacific-Asia Co Thanaruk Theeramunkong,Boonserm Kijsirikul,Tu-Bao Conference proceed

調(diào)整校對(duì)

Pathological Findings for Esophageal Varices, we bring forward linear PSVM together with recently proposed distributional clustering (DC) of words to realize its potential in TC realm. DC has been presented as an efficient alternative to conventionally used feature selection in TC. It has been shown that, DC together with linear SVM drastical

Desert

手銬

https://doi.org/10.1007/978-1-4613-2335-8 be separated into syllables, words, sentences, and paragraphs. This paper develops a novel method to segment the Thai text by combining a non-dictionary based technique with a dictionary-based technique. This method first applies the Thai language grammar rules to the text for identifying syllables

頑固

intolerance

安定

書(shū)法

Malcolm C. Bateson,Ian A. D. Bouchierve similarity-based approach imposes a lower bound on the similarity between an object and its corresponding cluster representative (with one representative per cluster). SimClus achieves a .(log.) approximation bound on the number of clusters, whereas for the best previous algorithm the bound can b

Cardioversion

anarchist

Clinical Investigations in Gastroenterologyll number of meaningful clusters. However, there still exist several challenges for document clustering, such as high dimensionality, scalability, accuracy, meaningful cluster labels, and extracting semantics from texts. In order to improve the quality of document clustering results, we propose an e

Agility