Data Mining & Data Ware House
Data Mining & Data Ware House
91. Unsupervised algorithms
- It do not need the control of the human operator during their execution.
- An arrow in a multi-dimensional space. It is a quantity usually characterized by an ordered set of scalars.
- The validation of a theory on the basis of a finite number of examples.
- None of these
92. Vector
- It do not need the control of the human operator during their execution.
- An arrow in a multi-dimensional space. it is a quantity usually characterized by an ordered set of scalars.
- the validation of a theory on the basis of a finite number of examples.
- None of these
93. Verification
- It does not need the control of the human operator during their execution.
- An arrow in a multi-dimensional space. It is a quantity usually characterized by an ordered set of scalars.
- The validation of a theory on the basis of a finite number of examples
- None of these
94. Visualization techniques are
- A class of graphic techniques used to visualize the contents of a database
- The division of a certain space into various areas based on guide points.
- A branch that connects one node to another
- None of these
95. Voronoi diagram
- A class of graphic techniques used to visualize the contents of a database
- The division of a certain space into various areas based on guide points
- A branch that connects one node to another
- None of these
96. Synapse is
- A class of graphic techniques used to visualize the contents of a database
- The division of a certain space into various areas based on guide point.
- A branch that connects one node to another
- None of these