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Spheres / Multivariate statistics / Fuzzy clustering / K-means clustering / 3-sphere / N-sphere / Cluster chemistry / Bounding sphere / Determining the number of clusters in a data set / Statistics / Geometry / Cluster analysis


Visualising Clusters in High-Dimensional Data Sets by Intersecting Spheres Frank H¨oppner and Frank Klawonn Abstract— In this paper, we re-consider the problem of mapping a high-dimensional data set into a low-dimensi
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Document Date: 2007-12-03 03:22:12

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Stuttgart / Chichester / London / Boston / New York / Wolfsburg / /

Company

Oxford University Press / IEEE Press / Cambridge University Press / Plenum Press / Seminar Press / Wiley & Sons / /

Country

Germany / United Kingdom / /

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Facility

University of Applied Sciences BS/WF / /

IndustryTerm

random search / fuzzy c-means clustering algorithm / closed form solutions / data mining / k-means clustering algorithm / fuzzy c-means algorithm / /

Organization

Cambridge University / University of Applied Sciences BS/WF / Department of Computer Science / Department of Information Systems / Oxford University / /

Person

F. Klawonn / V / Frank Klawonn / /

Position

representative data points / representative / /

Technology

MDS algorithm / Fuzzy Objective Function Algorithms / FCM algorithm / k-means clustering algorithm / clustering algorithm / data mining / fuzzy c-means clustering algorithm / machine learning / Image Processing / fuzzy c-means algorithm / /

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