Cluster prototypes - PowerPoint PPT Presentation

Unsupervised Optimal Fuzzy Clustering

Unsupervised Optimal Fuzzy Clustering. I.Gath and A. B. Geva. IEEE Transactions on Pattern Analysis and Machine Intelligence , 1989 , 11 (7), 773-781. Presented by Asya Nikitina. Fuzzy Sets and Membership Functions.

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Clustering methods Course code: 175314

Clustering methods Course code: 175314. Part 1: Introduction. Pasi Fränti 10.3.2014 Speech &amp; Image Processing Unit School of Computing University of Eastern Finland Joensuu, FINLAND. Sample data. Sources of R G B vectors. Red - Green plot of the vectors. Sample data.

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468 views • 32 slides

Clustering Categorical Data

Clustering Categorical Data. Pasi Fränti. 18.2.2016. K-means clustering. Definitions and data. Set of N data points:. X ={ x 1 , x 2 , …, x N }. Partition of the data:. P ={ p 1 , p 2 , …, p M },. Set of M cluster prototypes (centroids):. C ={ c 1 , c 2 , …, c M },.

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337 views • 24 slides

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