Multipartition clustering of mixed data with Bayesian networks
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22770
Abstract: Real‐world applications often involve multifaceted data with several reasonable interpretations. To cluster this data, we need methods that are able to produce multiple clustering solutions. To this purpose, it is interesting to learn a finite… read more here.
Keywords: clustering mixed; data bayesian; bayesian networks; mixed data ... See more keywords
Clustering of mixed datasets using deep learning algorithm
Sign Up to like & getrecommendations! Published in 2020 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2020.104123
Abstract: Abstract The performance of a clustering algorithm is highly dependent on the quality and quantity of the training dataset. Deep learning is one of the most popular and successful technique for clustering of datasets with… read more here.
Keywords: algorithm; mixed datasets; deep learning; datasets using ... See more keywords
Clustering Mixed Data by Fast Search and Find of Density Peaks
Sign Up to like & getrecommendations! Published in 2017 at "Mathematical Problems in Engineering"
DOI: 10.1155/2017/5060842
Abstract: Aiming at the mixed data composed of numerical and categorical attributes, a new unified dissimilarity metric is proposed, and based on that a new clustering algorithm is also proposed. The experiment result shows that this… read more here.
Keywords: search find; find density; fast search; mixed data ... See more keywords