Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Investigate the Correlation of Breast Cancer Dataset using Different
  Clustering Technique   The objectives of this paper are to explore ways to analyze breast cancer
dataset in the context of unsupervised learning without prior training model.
The paper investigates different ways of clustering techniques as well as
preprocessing. This in-depth analysis builds the footprint which can further
use for designing a most robust and accurate medical prognosis system. This
paper also give emphasis on correlations of data points with different standard
benchmark techniques. Keywords: Breast cancer dataset, Clustering Technique
Hopkins Statistic, K-means Clustering, k-medoids or partitioning around medoids
(PAM)

19
The categories of this paper are: eess
34
The categories of this paper are: chem-ph
29
The categories of this paper are: funct-an
36
The categories of this paper are: cmp-lg
22
The categories of this paper are: chao-dyn
5
The categories of this paper are: gr-qc
12
The categories of this paper are: nucl-th
26
The categories of this paper are: bayes-an
4
The categories of this paper are: cond-mat
31
The categories of this paper are: ao-sci
16
The categories of this paper are: stat
20
The categories of this paper are: acc-phys
3
The categories of this paper are: physics
11
The categories of this paper are: hep-lat
30
The categories of this paper are: q-alg
18
The categories of this paper are: econ