/// <summary>
/// Returns the maximum distance for all values for the provided attribute
/// using the provided ISimilarityMeasure
/// </summary>
/// <param name="attributeName">The name of the attribute to retrieve the maximum distance for</param>
/// <param name="measure">The ISimilarityMeasure to use to calculate the distance</param>
/// <returns>the maximum distance value for all values for the given attribute</returns>
public double GetMaxDistance(string attributeName, ISimilarityMeasure measure)
{
Tuple <string, string> tuple = Tuple.Create(attributeName, measure.ToString());
// Ensure that the maximum distance isn't already cached
if (!this.distancesCache.ContainsKey(tuple))
{
// Get the maximum distance calculation, for the provided
// attribute and measure, and cache it.
this.distancesCache[tuple] = CalculateMaxDistance(attributeName, measure);
}
return(this.distancesCache[tuple]);
}
/// <summary>
/// Returns the standard deviation for all distances (over all values) for the
/// given attribute and using the specified similarity measure. This method
/// attempts to use the cached value. If one doesn't exist, it is calculated.
/// </summary>
/// <param name="attributeName">The attribute to compute the standard
/// deviation for</param>
/// <param name="measure">The similarity measure to be used</param>
/// <returns>the standard deviation for all distances over all attribute
/// values for the given attribute and similarity measure</returns>
public double GetDistanceStandardDeviation(string attributeName, ISimilarityMeasure measure)
{
Tuple <string, string> tuple = Tuple.Create(attributeName, measure.ToString());
// Ensure that the standard deviation distance value isn't already computed
if (!this.sdCache.ContainsKey(tuple))
{
// Calculate the distance standard deviation
this.sdCache[tuple] = CalculateDistanceSD(attributeName, measure);
}
// Returns the cached standard deviation value
return(this.sdCache[tuple]);
}
/// <summary>
/// Returns the maximum distance for all values for the provided attribute
/// using the provided ISimilarityMeasure
/// </summary>
/// <param name="attributeName">The name of the attribute to retrieve the maximum distance for</param>
/// <param name="measure">The ISimilarityMeasure to use to calculate the distance</param>
/// <returns>the maximum distance value for all values for the given attribute</returns>
public double GetMaxDistance(string attributeName, ISimilarityMeasure measure)
{
Tuple<string, string> tuple = Tuple.Create(attributeName, measure.ToString());
// Ensure that the maximum distance isn't already cached
if (!this.distancesCache.ContainsKey(tuple))
{
// Get the maximum distance calculation, for the provided
// attribute and measure, and cache it.
this.distancesCache[tuple] = CalculateMaxDistance(attributeName, measure);
}
return this.distancesCache[tuple];
}
/// <summary>
/// Returns the standard deviation for all distances (over all values) for the
/// given attribute and using the specified similarity measure. This method
/// attempts to use the cached value. If one doesn't exist, it is calculated.
/// </summary>
/// <param name="attributeName">The attribute to compute the standard
/// deviation for</param>
/// <param name="measure">The similarity measure to be used</param>
/// <returns>the standard deviation for all distances over all attribute
/// values for the given attribute and similarity measure</returns>
public double GetDistanceStandardDeviation(string attributeName, ISimilarityMeasure measure)
{
Tuple<string, string> tuple = Tuple.Create(attributeName, measure.ToString());
// Ensure that the standard deviation distance value isn't already computed
if (!this.sdCache.ContainsKey(tuple))
{
// Calculate the distance standard deviation
this.sdCache[tuple] = CalculateDistanceSD(attributeName, measure);
}
// Returns the cached standard deviation value
return this.sdCache[tuple];
}