and an N*N distance (or similarity) matrix, the basic process of hierarchical clustering (defined by S.C. Johnson in 1967) is this: Start by assigning each item to a cluster, so that if you have N items, you now have N clusters, each containing just one item. Let the distances (si...
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best described by relational models in which instances of multiple types are related to each other in complex ways. For example, ...
To compare diseases, we were interested in strong biologically meaningful comparisons, for example between current smokers and a baseline of never smokers, as opposed to a baseline of previous smokers. Such substantial differences are more likely to be associated with changes to biological pathways tha...
Design and evaluation of a parallel HOP clustering algorithm for cosmological simulation Clustering, or unsupervised classification, has many uses in fields that depend on grouping results from large amount of data, an example being the N-body ... A Choudhary,WK Liao,L Ying - IEEE 被引量: ...
In this study, an illustrative example will be employed to demonstrate the feasibility and rationality of the proposed procedure in this article. 展开 关键词: DNA biology computing data mining genetics microorganisms pattern classification pattern clustering bacteria classification biological organism ...
Nevertheless, the performances of classification and clustering methods are considerably caused by the increasing dataset dimension because the algorithm in this category operates on the dataset dimension. Additionally, the drawback of higher dimension datasets includes redundant data, higher module construct...
supervised clusteringsemi-supervised learningSemi-supervised learning techniques, such as co-training paradigms, are proposed to deal with data sets with only a few labeled examples. However, the family of co-training paradigms, such as Tri-training and Co-Forest, is likely to mislabel an ...
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or②可能需要clustering等操作来辅助分段 or③可以被改成categorical属性 注意:Cart Decision Tree是一种binaryTree 如果Data Set T的例子中有n个classes,那么: gini(T)=1-\sum_{j=1}^{n}p_j^2=\sum_{j=1}^{n}p_j(1-p_j),其中p_j是class j在T中的相关频率 ...
Clustering analysis of PM2.5 concentrations in the South Sumatra Province, Indonesia, using the Merra-2 Satellite Application and Hierarchical Cluster Method The air quality monitoring system is the most prominent tool for monitoring air pollution levels, especially in areas where forest fires often occu...