Computational Intelligence and Neuroscience / 2017 / Article / Alg 1

Research Article

Clustering Categorical Data Using Community Detection Techniques

Algorithm 1

Input: dataset with data points, each data point has
attributes. The number of clusters .
Output: clusters of data points .
compute pairwise Hamming distances
compute CDF for pairwise Hamming distances
// estimate distance threshold
for     do
(5) if   and   then
(7) // clustering
(9)for     do
(10) if     then
(12) run Louvain method [12] on
(13) keep top- communities by size
(14)for each cluster   do
(15) compute the mode of
(16)for each remaining data point   do
(17) assign to the nearest mode ,

We are committed to sharing findings related to COVID-19 as quickly and safely as possible. Any author submitting a COVID-19 paper should notify us at to ensure their research is fast-tracked and made available on a preprint server as soon as possible. We will be providing unlimited waivers of publication charges for accepted articles related to COVID-19.