Search Results - Guelph Cluster Class algorithm

MULTI-K: accurate classification of microarray subtypes using ensemble k-means clustering by Kim, Eun-Youn, Kim, Seon-Young, Ashlock, Daniel, Nam, Dougu

“… Results We present a cluster-number-based ensemble clustering algorithm, called MULTI-K , for microarray sample classification, which demonstrates remarkable accuracy…”
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Exploiting multithreaded programming on cluster architectures by Cordeiro, O.C., Peranconi, D.S., Real, L.C.V., Dall'Agnol, E.C., Cavalheiro, G.G.H.

“… The programmer must deal with two classes of problems, one related to describing the application concurrency and data dependencies, and other related to exploiting efficiently the processing…”
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A load balancing approach based on a genetic machine learning algorithm by Dantas, M.A.R., Pinto, A.R.

“…Cluster configurations are a cost effective scenarios which are becoming common options to enhance several classes of applications in many organizations…”
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A customizable component for low-level communication software by Santos, T.R.C., Frohlich, A.A.F.

“… These protocols can act in specific points of the baseline architecture's algorithm in order tailor communication or provide new services according to the requirements of specific classes of applications…”
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