.. _book_fig_chapter10_fig_LINEAR_clustering:


Clustering of LINEAR data
-------------------------
Figure 10.20
~~~~~~~~~~~~
Unsupervised clustering analysis of periodic variable stars from the LINEAR
data set. The top row shows clusters derived using two attributes (g - i and
log P) and a mixture of 12 Gaussians. The colorized symbols mark the five most
significant clusters. The bottom row shows analogous diagrams for clustering
based on seven attributes (colors u - g, g - i, i - K, and J - K; log P,
light-curve amplitude, and light-curve skewness), and a mixture of 15
Gaussians. See figure 10.21 for data projections in the space of other
attributes for the latter case.


Figure 10.21
~~~~~~~~~~~~
Unsupervised clustering analysis of periodic variable stars from the LINEAR
data set. Clusters are derived using seven attributes (colors u - g, g - i,
i - K, and J - K; log P , light-curve amplitude, and light-curve skewness),
and a mixture of 15 Gaussians. The log P vs. g - i diagram and log P vs.
light-curve amplitude diagram for the same clusters are shown in the lower
panels of figure 10.20.



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.. image:: ../images/chapter10/fig_LINEAR_clustering_1.png
    :align: center
    :scale: 100



.. image:: ../images/chapter10/fig_LINEAR_clustering_2.png
    :align: center
    :scale: 100



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