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Clusters in Aggregated Health Data
2008Spatial information plays an important role in the identification of sources of outbreaks for many different health-related conditions. In the public health domain, as in many other domains, the available data is often aggregated into geographical regions, such as zip codes or municipalities.
Buchin, Kevin +5 more
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On clustering data with few clusters
2023Clustering is a problem with wide applications and is studied in various disciplines, such as unsupervised machine learning, data mining and combinatorial optimization. We study clustering in the setting with a limited number of clusters. In particular, we study the following two clustering problems:• An Algorithm for Categorical datasets: The k-modes ...
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Data Clustering and Various Clustering Approaches
2017It is needed to organize the data in different groups for various purposes, where clustering is useful. The chapter covers Data Clustering in the detail, which includes; introduction to data clustering with figures, data clustering process, basic classification of clustering and applications of clustering, describing hard partition clustering and fuzzy
Shashi Mehrotra, Shruti Kohli
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2009
This chapter provides a survey of some clustering methods relevant to clustering Web elements for better information access. We start with classical methods of cluster analysis that seems to be relevant in approaching the clustering of Web data. Graph clustering is also described since its methods contribute significantly to clustering Web data.
Dušan Húsek +3 more
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This chapter provides a survey of some clustering methods relevant to clustering Web elements for better information access. We start with classical methods of cluster analysis that seems to be relevant in approaching the clustering of Web data. Graph clustering is also described since its methods contribute significantly to clustering Web data.
Dušan Húsek +3 more
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Proceedings of the International Conference on Computer Applications — Database Systems, 2010
Madhuri A. Dalal, Umesh L. Kulkarni
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Madhuri A. Dalal, Umesh L. Kulkarni
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Fuzzy Clustering of Ecological Data
1991Ordination and classification have always been important stages in ecological data analysis. This paper presents a clustering technique based on fuzzy sets to obtain both ordination and classification particularly well suited for ecological analyses.
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An overview of real‐world data sources for oncology and considerations for research
Ca-A Cancer Journal for Clinicians, 2022Lynne Penberthy +2 more
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