density-based clusteringunsupervised learningdistance metricIn this paper, we propose a fully autonomous density-based clustering algorithm named 'Ocean', which is inspired by the oceanic landscape and phenomena that occur in it. Ocean is an improvement over conventional algorithms regarding both distance...
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...
aattached OK? 附有好?[translate] afrom these categories, choose a number of classic and representative clustering algorithm and some of the latest clustering algorithm. 从这些类别,选择一定数量的经典和代表性使成群的算法和某些最新的使成群的算法。[translate]...
D1a. applying a clustering algorithm to the extracted features to generate one or more clusters each containing documents from the cluster. 10. The method according to claim 1 wherein step E comprises the step of: E1. repeating steps B, C and D until the number of documents in each clu...
In this section, we first recall the basics of a mixed-effects multinomial model with discrete random effects (Section 2.1), and then, we present the JMSPME model and its algorithm (Section 2.2). 2.1 State of the Art: Multinomial Models with Discrete Random Effects Consider a multinomial logi...
clustering algorithm has been empirically adjusted to 01descriptive information: name( job) person image, date ofirth/death,place of birth/death, email address,postal ad-ress, fax/phone number, location (where the person livesn), author of (e g books, paintings, patents ) and de-cription(...
16.Research into Multi-category Recognition Algorithm Based on the Tree-structure Model基于树结构模型的多类识别算法研究 17.Handwritten Digits Recognition with Fuzzy Clustering基于模糊聚类算法的手写体数字识别 18.Face Recognition Based on 2DPCA and Multi-Classifier Fusion Decision基于2DPCA和多分类器融合的...
Monge, et al., “An efficient domain-independent algorithm for detecting approximately duplicate database records,” Proceedings of the ACM SIGMOD Workshop—Data Mining and Knowledge Discovery, May 1997, pp. 23-29. Monge, et al., “The Field Matching Problem: Algorithms and Applications,” Proce...
This paper presents a chain vector-quantization clustering (CVQC) algorithm for realtime speech recognition. In comparison with the conventional dynamic time warping (DTW) and vector-quantization (VQ) methods, it delivers faster training and recognition speeds and requires smaller memory locations. 关键...