In image processing, distance is expressed as distance in pixels or shortest path between two data points on the grid, two centers of pixels. Most clustering algorithms utilize distance measures to cluster alike data points (pixels in the case of image) into the same group, while unalike data...
Distance measure plays an important role in clustering data points. Choosing the right distance measure for a given dataset is a biggest challenge. In this paper, we study various distance measures and their effect on different clustering. This paper surveys existing distance measures for clustering ...
Distance Measures:Some of the methods described in this chapter take a high dimensional data matrix as input and give the results as a “rearrangement” of this input. The rearrangement is usually performed with regard to some similarity or dissimilarity measure. In clustering algorithms, two ...
[translate] aUsing relational distance measures, it is possible to apply clustering and instance-based learning to multirelational data [12]. 使用关系距离措施,申请成群和基于事例的学会于multirelational数据12是 (可能的)。[translate]
Cluster analysis is widely used in the initial stages of data analysis and data reduction. The K-means algorithm, a nonhierarchical clustering algorithm, h... Y Shim,J Chung,IC Choi - IEEE 被引量: 40发表: 2006年 Comparison and Evaluation of Different Cluster Validity Measures Including Their...
Short measures of health status are used increasingly in health services research, yet their sensitivities to clinical change have not been compared with l... JN Katz,MG Larson,CB Phillips,... - 《Medical Care》 被引量: 1470发表: 1992年 Reversed-polarity items and scale unidimensionality A st...
With a large number of distance measures, the appropriate choice for clustering a given data set with a specified clustering algorithm becomes an important problem. 本文提出了一种用于聚类算法的自动距离度量推荐方法。推荐方法包括以下步骤: (1) 元数据提取,包括元特征收集和元目标识别;(2) 使用元数据构建...
In this work, we presented a RF-based confidence estimation algorithm for predicting the confidence scores of each sample in the embeddings. We demonstrated that confidence scores could be utilized to enhance the performance of the clustering of scRNA-seq data. Using a variety of distance measures...
Novel Graph Distance Measures Based on Intra-Graph Clustering and Cluster Distance 机译:基于图内聚类和聚类距离的新型图距离度量 获取原文 获取原文并翻译 | 示例 获取外文期刊封面目录资料页面导航 摘要 著录项 相似文献 相关主题 摘要 Novel distance measures for graphs with ...
The influence of compression based estimation methods on the proposed measures is investigated. Several examples of successful applications in the field of genetics are presented.关键词: biology computing data compression genetics pattern classification classification compression based estimation methods content ...