Kpax3: Bayesian bi‐clustering of large sequence datasets
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DOI: 10.1093/bioinformatics/bty056
Abstract: Motivation: Estimation of the hidden population structure is an important step in many genetic studies. Often the aim is also to identify which sequence locations are the most discriminative between groups of samples for a… read more here.
Keywords: kpax3 bayesian; clustering large; sequence datasets; large sequence ... See more keywords
Clustering large datasets using K-means modified inter and intra clustering (KM-I2C) in Hadoop
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Big Data"
DOI: 10.1186/s40537-017-0087-2
Abstract: Big data has become popular for processing, storing and managing massive volumes of data. The clustering of datasets has become a challenging issue in the field of big data analytics. The K-means algorithm is best… read more here.
Keywords: using means; big data; datasets using; clustering large ... See more keywords