聚类分析（clusteranalysis）聚类分析（cluster analysis）medical aircraft Clustering analysis refers to the grouping of physical or abstract objects into a class consisting of similar objects. It is an important human behavior. The goal of cluster analysis is to classify data on a similar basis. ...
For this purpose, we have used the Windows-Users and-Intruder simulation Logs data set repository, which contains 70 different masquerade data sets. We have found that OCKRA++ is currently the algorithm that achieves the best area under the curve, with a significant difference, in masquerade ...
The meaning of CLUSTER ANALYSIS is a statistical classification technique for discovering whether the individuals of a population fall into different groups by making quantitative comparisons of multiple characteristics.
Evaluation of k-means clustering is different from regression and classification algorithms because in clustering there are no known external labels for comparison. The evaluation parameter will have to be developed from the very dataset that is being evaluated. This is called unsupervised or internal ...
Classification of bulk metallic glasses by atomic size difference, heat of mixing and period of constituent elements and its application to characterization of the main alloying element. Mater. Trans. 46, 2817–2829 (2005). Article CAS Google Scholar Dong, C., Dong, D. D. & Wang, H. ...
The main objective of this analysis is to enhance the understanding and classification of the intricate nature of ICH within the musical realm. Finally, experiments are conducted to confirm the model’s effectiveness. The results show that: (1) the text word vector training based on the word2...
Kernel k-means algorithms have recently been shown to perform better than conventional k-means algorithms in unsupervised classification. In this paper we ... AFBF Costa,BA Pimentel,RMCR De Souza - International Joint Conference on Neural Networks 被引量: 46发表: 2010年 Parallel Fuzzy c-Means ...
(non-Gaussian) large dimensional heterogeneous data sets using adaptive multivariate mixtures of kernels of Bensmail and Bozdogan (2006a,b) to achieve flexibility in currently practiced mixture-model clustering techniques and to obtain both accurate classification error rates and accurate cluster parameter...
A new image classification approach for mapping coral density in State of Kuwait using high spatial resolution satellite images Remote sensing technology can be a valuable tool for mapping coral reef ecosystems. However, the resolution capabilities of remote sensors, the diversity and complexity of cora...
Classification and regression tree EMD: Electronic monitoring device ICS: Inhaled corticosteroids IQR: Interquartile range PC: Principal component PCA: Principal component analysis RCT: Randomized controlled trial US: United States References Google Scholar ...