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However, such sequential algorithms cannot always guarantee the simultaneous optimality for both clustering and classification learning.
Additionally, the feature selection using the chromosome settings can help to search for the relevant features for both clustering and classification learnings.
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We then extract the defining structure within these top-ranked pathways using both Markov clustering and classification algorithms.
The 3M Markov mixture model (Mamitsuka et al., 2003) provides the core framework for both our pathway clustering and classification models.
When class information is available, fusing the advantages of both clustering learning and classification learning into a single framework is an important problem worthy of study.
The performance of direct concatenation is affected in this situation, with both the accuracy of clustering and classification reduced significantly (Fig. 2e and Table 1).
Conversely, since the APA pattern is determined by both cell type and developmental state, it can be used as biomarker for sample clustering and classification.
"Clustering and Classification via Lossy Data Compression, Computer Vision Seminar, EECS Department, University of California at Berkeleyy, March 7 , 2007
"Clustering and Classification via Lossy Data Compression, Computer Science Department Seminar, University of California at Los Angeless, May 1 , 2007
"Clustering and Classification via Lossy Data Compression, Center for Imaging Science Seminar, Johns Hopkins Universityy, March 20 , 2007
"Clustering and Classification via Lossy Data Compression, Electrical Engineering and Computer Science Department, University of Michigann, February 5 , 2007
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