Search Results for "clustering algorithm matlab" - Page 8
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Showing 184 open source projects for "clustering algorithm matlab"
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Financial reporting cloud-based software.The software is cloud based and automates complexities around consolidating and reporting for groups with multiple year ends, currencies and ERP systems with a slice and dice approach to reporting. While retaining the structure, control and validation needed in a financial reporting tool, we’ve managed to keep things flexible.
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OpenMosix Sim is a simulation of the algorithm used for process distribution in OpenMosix kernel. The algorithm is simplified.
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Implementation of a Silhouette extraction algorithm [1]. Coded in octave (matlab). [1] M. Yamada, K. Ebihara, and J. Ohya. A New Robust Real-time Method for Extracting Human Silhouettes from Color Images. Int. Conf. on Auto. Face and Gesture Recog., 1998
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Web Textual eXtraction Tools C++ Parallel web crawler, noun phrase idenification, Multi-lingual Part of Speech Tagging, Tarjan's Algorithm, Co-RelationShip Mappings...
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iClust is an information-based clustering algorithm, based upon methods and approaches described in the paper "Information-based clustering" by Noam Slonim
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Turn traffic into pipeline and prospects into customersDocket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
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MIRtoolbox is a Matlab toolbox dedicated to the extraction of musical features from audio files, statistical analysis, segmentation and clustering. Through a user-friendly syntax, low and high-level operators can be combined into complex flowcharts.
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UANA (Universal Abstract Numerical Algorithm) is a c++ api for developers to write algorithms independant of the underlying data container classes.
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nBoost is a suite of boosting algorithms designed to solve binary classification problems on data that is not linearly separable by a convex combination of base hypotheses, i.e. noisy data. WARNING: Active development. Underlying algorithm is unstable.
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This project collect several data mining methods, such as: 1) clustering methods; 2) biclustering methods; 3) FCA methods and etc.
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Hill Finder
Detection of Proximal RNA Binding Sites in HITS Data
...This technique can, however, obscure the precise locations of binding sites in close proximity to each other, which would be found when analyzing high-throughput data for enzymes whose activity require multiple RNA binding sites, as well as for overlapping distinct ncRNA loci derived from processing events. We present a density clustering approach based on the OPTICS algorithm which can detect any number of RNA binding sites indicated by the data without prior knowledge of the expected length or number of binding sites in the transcript. -
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