Clustering tendency using hopkin's statistics As per the references 
1.   http://www.sthda.com/english/wiki/assessing-clustering-tendency-a-vital-issue-unsupervised-machine-learning 
2.   http://www.listendata.com/2016/01/cluster-analysis-with-r.html

The Hopkins statistics value close to '0' is also clusterable. Is this correct? Or the value should always be close to '1' for clusterable?
I don't think the Hopkins statistic is useful for this purpose at all.

It is essentially a test for a uniform distribution.

But not having a uniform distribution does not mean the data is suitable for cluster analysis.

For example a single Gaussian distribution (unimodal!) will score high on this test, but the data doesn't have multiple clusters but all points are from the same distribution.