Software engineer with Cloud Infrastructure Group at Intel, currently working on big data analytics.
Proposals for this user
Non-centroid clustering increasingly is seeing need in data analytics as more complex models arise. Latent Dirichlet Allocation (LDA) is one such solution to a clustering problem known as topic modeling. In this talk we discuss what topic modeling is, why conventional techniques don't yield useful results and how LDA solves this issue.
|Theory||2016-04-13 06:20:39 +0000|