Nystrom.SamplingMethod (Java Statistical Analysis Tool 0.0.8 API)

java.lang.Object
- java.lang.Enum<Nystrom.SamplingMethod>
- - jsat.datatransform.kernel.Nystrom.SamplingMethod

All Implemented Interfaces:

Serializable, Comparable<Nystrom.SamplingMethod>

Enclosing class:

Nystrom
```
public static enum Nystrom.SamplingMethod
extends Enum<Nystrom.SamplingMethod>
```
Different sample methods may be used to select a better and more representative set of vectors to form the basis vectors at increased cost, where n is the number of data points in the full data set and b is the number of basis vectors to obtain.

Enum Constant Summary

Enum Constants
Enum Constant and Description
`DIAGONAL` Selects the basis vectors by a weighted probability of the kernel value of k(x_i, x_i) for each i.
`KMEANS` Selects the basis vectors as the means of a k-means clustering.
`NORM` Selects the basis vectors by the weighted probability of the column norms of the gram matrix for each vector.
`UNIFORM` Selects the basis vectors by uniform sampling, takes O(b) time

Method Summary

All Methods Static Methods Concrete Methods
Modifier and Type	Method and Description
`static Nystrom.SamplingMethod`	`valueOf(String name)` Returns the enum constant of this type with the specified name.
`static Nystrom.SamplingMethod[]`	`values()` Returns an array containing the constants of this enum type, in the order they are declared.

Methods inherited from class java.lang.Enum
clone, compareTo, equals, finalize, getDeclaringClass, hashCode, name, ordinal, toString, valueOf

Methods inherited from class java.lang.Object
getClass, notify, notifyAll, wait, wait, wait

- Enum Constant Detail
  - UNIFORM
```
public static final Nystrom.SamplingMethod UNIFORM
```
    Selects the basis vectors by uniform sampling, takes O(b) time
  - DIAGONAL
```
public static final Nystrom.SamplingMethod DIAGONAL
```
    Selects the basis vectors by a weighted probability of the kernel value of k(x_i, x_i) for each i. If a kernel returns 1 for all k(x_i, x_i), then this reduces the uniform sampling. Takes O(n) time
  - NORM
```
public static final Nystrom.SamplingMethod NORM
```
    Selects the basis vectors by the weighted probability of the column norms of the gram matrix for each vector. Takes O(n²) time
  - KMEANS
```
public static final Nystrom.SamplingMethod KMEANS
```
    Selects the basis vectors as the means of a k-means clustering. Takes the time needed to perform k-means
- Method Detail
  - values
```
public static Nystrom.SamplingMethod[] values()
```
    Returns an array containing the constants of this enum type, in the order they are declared. This method may be used to iterate over the constants as follows:
```
for (Nystrom.SamplingMethod c : Nystrom.SamplingMethod.values())
    System.out.println(c);
```
    Returns:
    
    an array containing the constants of this enum type, in the order they are declared
  - valueOf
```
public static Nystrom.SamplingMethod valueOf(String name)
```
    Returns the enum constant of this type with the specified name. The string must match exactly an identifier used to declare an enum constant in this type. (Extraneous whitespace characters are not permitted.)
    
    Parameters:
    
    name - the name of the enum constant to be returned.
    
    Returns:
    
    the enum constant with the specified name
    
    Throws:
    
    IllegalArgumentException - if this enum type has no constant with the specified name
    
    NullPointerException - if the argument is null

Enum Nystrom.SamplingMethod

Enum Constant Summary

Method Summary

Methods inherited from class java.lang.Enum

Methods inherited from class java.lang.Object

Enum Constant Detail

UNIFORM

DIAGONAL

NORM

KMEANS

Method Detail

values

valueOf