/// <summary>
/// Initializes a new instance of the <see cref="MongeElkan"/> class, using the tokenizer specified.
/// </summary>
/// <param name="tokenizerToUse">The tokenizer to use.</param>
/// <remarks>
/// The default string metric algorithm used is <see cref="SmithWatermanGotoh"/>.
/// </remarks>
public MongeElkan(ITokenizer tokenizerToUse)
{
this.estimatedTimingConstant = 0.034400001168251038;
this.tokenizer = tokenizerToUse;
this.internalStringMetric = new SmithWatermanGotoh();
}
/// <summary>
/// Initializes a new instance of the <see cref="MongeElkan"/> class, using the parameters specified.
/// </summary>
/// <param name="tokenizerToUse">The tokenizer to use.</param>
/// <param name="metricToUse">The meta string metric to use.</param>
public MongeElkan(ITokenizer tokenizerToUse, AbstractStringMetric metricToUse)
{
this.estimatedTimingConstant = 0.034400001168251038;
this.tokenizer = tokenizerToUse;
this.internalStringMetric = metricToUse;
}
/// <summary>
/// Initializes a new instance of the <see cref="MongeElkan"/> class, using the string metric algorithm specified.
/// </summary>
/// <param name="metricToUse">The meta string metric to use.</param>
/// <remarks>
/// The default tokenizer is the <see cref="TokenizerWhitespace"/>.
/// </remarks>
public MongeElkan(AbstractStringMetric metricToUse)
{
this.estimatedTimingConstant = 0.034400001168251038;
this.tokenizer = new TokenizerWhitespace();
this.internalStringMetric = metricToUse;
}
