Supervised and Unsupervised Learning for Genetic Expression
Attribute clustering is one of the unsupervised data mining applications which have been previously used to identify statistical dependence between subsets of variables. Again clustering techniques are important in data mining methods for exploring natural structure and identifying interesting patterns in original data, also it is proved to be helpful in finding co-expressed samples. In this book, the rough set theory (RST) has been used for attribute clustering. RST is a theory adopted to deal with rough and unsure knowledge, which analyzes the clusters and finds the data principles when previous knowledge is not available. In this concern,…
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Produktdetails
Weitere Autoren: Tripathy, Ramamani / Mishra, Debahuti
- ISBN: 978-620-3-85572-2
- EAN: 9786203855722
- Produktnummer: 36986135
- Verlag: LAP Lambert Academic Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2021
- Seitenangabe: 96 S.
- Masse: H22.0 cm x B15.0 cm x D0.6 cm 161 g
- Abbildungen: Paperback
- Gewicht: 161
Über den Autor
Dr. Rudra Kalyan Nayak is presently working as Associate Professor in the Dept. of CSE at K L University, Andhra Pradesh, IndiaDr. Ramamani Tripathy is presently working as Associate Professor in the Dept. of MCA at USBM, Odisha, IndiaDr. Debahuti Mishra is presently working as Professor and Head in Dept. of CSE at S'O'A University, Odisha, India.
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