Two popular methodologies of CI include neural networks and fuzzy systems. Lately, a unification was proposed in CI, at a "data level", based on lattice theory (Kaburlasos, 2006). More specifically, it was shown...doi:10.1007/978-3-540-34170-3_7Vassilis G. Kaburlasos...
A method and a system which apply a regression clustering algorithm and a classification algorithm on the dataset are provided. In particular, a method and a system are provided which generate a plurality of different functions correlating datapoints of a dataset and determine directives by which to...
Clustering中文翻译作"聚类",简单地说就是把相似的东西分到一组,同Classification(分类)不同,对于一个classifier ,通常需要你告诉它"这个东西被分为某某类"这样一些例子,理想情况下,一个classifier 会从它得到的训练集中进行"学习",从而具备对未知数据进行分类的能力,这种提供训练数据的过程通常叫做supervised learning(...
In this situation, clustering's objective is to identify the separate groups and allocate objects depending on how closely they resemble the appropriate groups. The absence of initial tags for observations is the primary distinction between the clustering and classification methods. However, ...
An Introduction to Statistical Inference and its Applications with R.pdf Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors 基于最大树聚类的多超球体一类分类算法及其应用研究 Study on One-class Classification with Multi Hyper-spheres Based on Maxim...
The Optimal Classification Trees (OCT) algorithm enables the construction of decision trees for classification and regression that have performance comparable with state-of-the-art methods such as random forests and gradient boosted trees without sacrificing the interpretability offered by a single tree. ...
ELM is credited with a meager computational cost for its operations and has been used in finding the solution to classification and regression problems. iv. K-means based multiview clustering methods and K-means subspace clustering models The generation of high dimensional data due to the social ...
The results show that the effective mechanism can improve the convergence rate of clustering and classification results. 实验结果表明,该机制能有效地提高聚类的收敛速度和分类效果。 211.151.93.212 2. Distance metric learning has exhibited its great power to improve performance in regression, clustering and...
A high-level machine learning and deep learning library for the PHP language. php data-science machine-learning natural-language-processing algorithm ai deep-learning neural-network analytics clustering cross-validation regression prediction artificial-intelligence classification machine-learning-library anomaly-...
There is no labeling required, unlike classification tasks. In broad terms, clustering can be expressed as exploring the unknown. The wide range of clustering applications includes search engines, social networks, visual tasks such as image segmentation, and DNA analysis. Search engines need to ...