Ip1 a Geometric Perspective on Machine Learning and Data Mining Ip2 Automated Learning and Data Visualization Gad: General Activity Detection for Fast Cluster- Ing on Large Data Cp1 Hybrid Clustering of Text Mining and Bibliomet- Rics Applied to Journal Sets

Abstract

Increasingly, we face machine learning problems in very high dimensional spaces. We proceed with the intuition that although natural data lives in very high dimensions, they have relatively few degrees of freedom. One way to formalize this intuition is to model the data as lying on or near a low dimensional manifold embedded in the high dimensional space… (More)

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