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Feature combinations and the divergence criterion
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Mayekar, S. M. Decell Jr., H. P. |
| Copyright Year | 1976 |
| Description | Classifying large quantities of multidimensional remotely sensed agricultural data requires efficient and effective classification techniques and the construction of certain transformations of a dimension reducing, information preserving nature. The construction of transformations that minimally degrade information (i.e., class separability) is described. Linear dimension reducing transformations for multivariate normal populations are presented. Information content is measured by divergence. |
| File Size | 5133261 |
| Page Count | 14 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19770007852 |
| Archival Resource Key | ark:/13960/t6vx54s9q |
| Language | English |
| Publisher Date | 1976-06-01 |
| Access Restriction | Open |
| Subject Keyword | Numerical Analysis Remote Sensors Classifications Divergence Linear Transformations Functions Mathematics Combinatorial Analysis Data Reduction Transformations Mathematics Crop Identification Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Technical Report |
