Huras, multi-dimensional clustering: a new data layout scheme in DB2, in: Proceeding of SIGMOD, USA, June 2003.S. Padmanabhan, B. Bhattacharjee, T. Malkemus, L. Cranston, and M. Huras. Multi-dimensional clustering: A new data layout scheme in DB2. In A. Y. Halevy, Z. G. Ives, ...
Traverse has CCIndex: A Complemental Clustering Index on Distributed Ordered Tables 249 the same performance problem as IndexedTable, and is lack of reliability due to the non-replica B-tree indexes. CCIndex is better than these approaches in space over- head, reliability, and index scan ...
index - Enhanced Davies-Bouldin index (db2). dbcvindex - Density-based index (dbcv). dunnindex - Dunn index (dunn). gd31index - Dunn index variant 3,1 (gd31). gd33index - Dunn index variant 3,3 (gd33). gd41index - Dunn index variant 4,1 (gd41). gd43index - Dunn index ...
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Employing multi-input multi-output (MIMO) links can improve energy efficiency in wireless sensor networks (WSNs). Although a sensor node is likely to be equipped with only one antenna, it is possible to group several sensors to form a virtual MIMO link. Such grouping can be formed by means...
CD-HIT-EST clusters similar DNAs into clusters that meet a user-defined similarity threshold. CD-HIT (CD-HIT-EST) clusters similar proteins into clusters that meet a user-defined similarity threshold. CD-HIT-2D (CD-HIT-EST-2D) compares 2 datasets and identifies the sequences in db2 that ...
For localization of critical AF drivers in patients with AF, the baseline feature extraction method is grounded on the electrogram morphology analysis. Here, we consider the following five atrial-deflection based features: Complex fractionated electrogram index, fractionated activity, variability, deflectio...
5887274Restartable fast DB2 tablespace reorganization method1999-03-23Barry et al.707/202 5864857Method for processing multi-dimensional data1999-01-26Ohata et al.707/100 5778353Computer program product for optimizing data retrieval using index scanning1998-07-07Schiefer et al.707/2 ...
4. The method of claim 3, wherein the delete-in-block indicator is associated with a lock on the block of data at the locking level. 5. The method of claim 3, wherein the database contains a row index for a column of the table; and wherein the method further comprises setting a ...
Manhattan, Pearson correlation, Eisen cosine correlation, Spearman correlation, Kendall correlation, Bit-Vector, Hamming, the Jaccard Index and the Dice Index, but this has drawn little attention, especially in terms of introducing non-linearity into similarity measures for data clustering [17,18]. ...