Abstract—Dimensionality reduction is an important step in knowledge discovery in databases. Intrinsic dimension indicates the number of variables necessary to describe a data set. Two methods, box-counting dimension and correlation dimension, are commonly used for intrinsic dimension estimation. However, the robustness of these two methods has not been rigorously studied. This paper demonstrates that correlation dimension is more robust with respect to data sample size. In addition, instead of using a user selected distance , we propose a n ....etc

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IDR-QR: Incremental Dimension Reduction Algorithm via QR Decomposition (Java)
IEEE Transactions on Knowledge and Data Engineering, Vol. 17, No. 9,

Abstract:
Dimension reduction is a critical data preprocessing step for many database and data mining applications, such as efficient storage and retrieval of high-dimensional data. In the literature, a well-known dimension reduction algorithm is Linear Discriminant Analysis (LDA). The common aspect of previously proposed LDA-based algorithms is the use of Singular Value Decomposition ( ....etc

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Abstract:
Intel announced a new brand name for its next generation mobile processor technology: Centrino. It was designed to help manufactures to build notebooks that use less power and offer extended battery life along with better wireless networking facilities.


CONTENT
Introduction
Users demand
Notebook PCs: Two Distinct Segments
Configuration
Intel Centrino Mobile Technology
New Centrino technology
Key feature of Intel centrinomobile technology ....etc

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The Semantic Grid refers to an approach to Grid computing in which information, computing resources and services are described using the semantic data model. In this model the data and metadata are expressed through facts (small sentences). Therefore it becomes directly understandable for humans. This makes it easier for resources to be discovered and joined up automatically, which helps bring resources together to create virtual organizations. The descriptions constitute metadata and are typically represented using the technologies of the Sema ....etc

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hyperspectral image dimensional reduction matlab code plzz ....etc

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