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Fig 1.

Left figure is u(S) and right figure is v(S).

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Fig 1 Expand

Fig 2.

A number of the iterations with current clusters for the Old Faithful data set.

The final number of clusters is four.

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Fig 2 Expand

Fig 3.

A comparison of the clustering in Fig 2 with the K-means output for four clusters.

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Fig 4.

A number of the iterations with current clusters for the Galaxy data set.

The final number of clusters is three.

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Fig 4 Expand

Fig 5.

A number of the iterations with current clusters for the simulated data set.

The final number of clusters is five—the correct number.

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Fig 5 Expand

Fig 6.

Data set on unit sphere.

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Fig 7.

Locations of the eight landmarks.

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Fig 8.

Clustering of the rats data.

Left plot: the coordinates of the first two principal components in the tangent space; Right plot: Landmarks represented by symbols and colours based on the clusterings.

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Fig 8 Expand

Fig 9.

Data set with 5 clusters and σ2 = 0.2.

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Table 1.

The average number of clusters by after adding noise to the five centres with various σ.

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Table 1 Expand

Fig 10.

US arrests clusterings from the hierarchical k-means algorithm and the gap method.

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Fig 11.

US arrests clustering from the Hungarian algorithm; there are 7 clusters.

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Fig 12.

Supporting evidence of 7 clusters for the US arrests data based on view with 3 principal components.

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