CODEWITHSUNDEEP
pythonmachine-learningscikit-learncluster-analysisdbscan
sneha_jerin
sneha_jerin

Reputation: 55

How to add custom parameter to DBSCAN

I have been working to create a custom DBSCAN where I can create a custom parameter to filter distances based on Taxi ID to see which taxis are creating a traffic blockage. I have time and distance matrices added but I am stuck on how to create a new eps to filter taxis based on ID. If the eps value is high then different Taix ID should be clustered and if low same taxi. How to proceed?

time_dist = pdist(X[:, 0].reshape(n, 1), metric=self.metric)
euc_dist = pdist(X[:, 1:], metric=self.metric)


# filter the euc_dist matrix using the time_dist
dist = np.where(time_dist <= self.eps2, euc_dist, 2 * self.eps1)

db = DBSCAN(eps=self.eps1,
            min_samples=self.min_samples,
            metric='precomputed')
db.fit(squareform(dist))

self.labels = db.labels_

Upvotes: 0

Views: 55

Answers (0)

Related Questions