Multidimensional data clustering and dimension reduction for indexing and searching
AssigneeInternational Business Machines Corporation
InventorsVittorio Castelli, Chung-Sheng Li, Alexander Thomasian
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AssigneeInternational Business Machines Corporation
InventorsVittorio Castelli, Chung-Sheng Li, Alexander Thomasian
Estimating the term…
An improved multidimensional data indexing technique that generates compact indexes such that most or all of the index can reside in main memory at any time. During the clustering and dimensionality reduction, clustering information and dimensionality reduction information are generated for use in a subsequent search phase. The indexing technique can be effective even in the presence of variables which are not highly correlated. Other features provide for efficiently performing exact and nearest neighbor searches using the clustering information and dimensionality reduction information. One example of the dimensionality reduction uses a singular value decomposition technique. The method can also be recursively applied to each of the reduced-dimensionality clusters. The dimensionality reduction can also be applied to the entire database as a first step of the index generation.
A computerized method of representing multidimensional data, comprising the steps of:
A program storage device readable by a machine which includes one or more reduced dimensionality indexes to multidimensional data, the program storage device tangibly embodying a program of instructions executable by the machine to perform method steps for representing multidimensional data, said method steps comprising:
A computer program product comprising:
A computerized method of representing multidimensional data which includes spatial geographic information, said method comprising the steps of:
A computerized method of representing multidimensional data which includes point-of-sale transactions with associated geographic coordinates, said method comprising the steps of:
Dependencies are inferred from the claim text.