Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Graph partitioning advance clustering technique   Clustering is a common technique for statistical data analysis, Clustering is
the process of grouping the data into classes or clusters so that objects
within a cluster have high similarity in comparison to one another, but are
very dissimilar to objects in other clusters. Dissimilarities are assessed
based on the attribute values describing the objects. Often, distance measures
are used. Clustering is an unsupervised learning technique, where interesting
patterns and structures can be found directly from very large data sets with
little or none of the background knowledge. This paper also considers the
partitioning of m-dimensional lattice graphs using Fiedler's approach, which
requires the determination of the eigenvector belonging to the second smallest
Eigenvalue of the Laplacian with K-means partitioning algorithm.

5
The categories of this paper are: gr-qc
29
The categories of this paper are: funct-an
20
The categories of this paper are: acc-phys
27
The categories of this paper are: comp-gas
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The categories of this paper are: q-fin
4
The categories of this paper are: cond-mat
37
The categories of this paper are: supr-con
3
The categories of this paper are: physics
30
The categories of this paper are: q-alg
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The categories of this paper are: atom-ph
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The categories of this paper are: solv-int
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The categories of this paper are: econ
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The categories of this paper are: eess
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The categories of this paper are: math-ph
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The categories of this paper are: hep-ex
36
The categories of this paper are: cmp-lg