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In this study, we consider a bi-level hierarchical clustering problem where the similarity distance measure is induced from the ℓ 1 norm. As a result, we are able to design algorithms that provide ...
Furthermore, text information is usually encrypted before being outsourced to data centers in order to protect users' data privacy. Current techniques to search on encrypted data do not perform well ...
Bayesian Hierarchical Clustering in python This is a python implementation of the Bayesian Hierarchical Clustering algorithm proposed by Heller & Ghahramani (2005). HELLER, Katherine A.; GHAHRAMANI, ...
Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview que ...
This paper presents a new method of hierarchical text clustering based on combination of latent semantic analysis (LSA) and hierarchical TGSOM, which is called TCBLHT method. The text clustering ...