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#Net.sf.javaml.distance Classes and Interfaces - 48 results found.
| Name | Description | Type | Package | Framework |
| AbstractCorrelation | Abstract super class for all correlation measures. | Class | net.sf.javaml.distance | JavaML |
| AbstractDistance | Abstract super class for all distance measures. | Class | net.sf.javaml.distance | JavaML |
| Abstraction | Class | net.sf.javaml.distance.fastdtw | JavaML | |
| AbstractSimilarity | Abstract super class for all similarity measures. | Class | net.sf.javaml.distance | JavaML |
| AngularDistance | Class | net.sf.javaml.distance | JavaML | |
| Arrays | Class | net.sf.javaml.distance.fastdtw.util | JavaML | |
| Band | Class | net.sf.javaml.distance.fastdtw | JavaML | |
| CachedDistance | This class implements a wrapper around other distance measure to cache previously calculated distances. | Class | net.sf.javaml.distance | JavaML |
| ChebychevDistance | Class | net.sf.javaml.distance | JavaML | |
| ColMajorCell | Class | net.sf.javaml.distance.fastdtw.matrix | JavaML | |
| ConsistencyIndex | Consistency index for a pair of subsets. | Class | net.sf.javaml.distance | JavaML |
| CosineDistance | This similarity based distance measure actually measures the angle between The value returned lies in the interval [0,1]. | Class | net.sf.javaml.distance | JavaML |
| CosineSimilarity | This similarity based distance measure actually measures the angle between The value returned lies in the interval [0,1]. | Class | net.sf.javaml.distance | JavaML |
| DistanceMeasure | A distance measure is an algorithm to calculate the distance, similarity or correlation between two instances. | Interface | net.sf.javaml.distance | JavaML |
| DTW | Class | net.sf.javaml.distance.fastdtw.dtw | JavaML | |
| DTWSimilarity | A similarity measure based on "Dynamic Time Warping". | Class | net.sf.javaml.distance.dtw | JavaML |
| EuclideanDistance | This class implements the Euclidean distance. | Class | net.sf.javaml.distance | JavaML |
| ExpandedResWindow | Class | net.sf.javaml.distance.fastdtw.dtw | JavaML | |
| FastDTW | Class | net.sf.javaml.distance.fastdtw.dtw | JavaML | |
| FastDTW | Stan Salvador and Philip Chan, FastDTW: Toward Accurate Dynamic Time Warping in Linear Time and Space, KDD Workshop on Mining Temporal and Sequential | Class | net.sf.javaml.distance.fastdtw | JavaML |
| FullWindow | Class | net.sf.javaml.distance.fastdtw.dtw | JavaML | |
| JaccardIndexDistance | Jaccard index. | Class | net.sf.javaml.distance | JavaML |
| JaccardIndexSimilarity | Jaccard index. | Class | net.sf.javaml.distance | JavaML |
| LinearKernel | Class | net.sf.javaml.distance | JavaML | |
| LinearWindow | Class | net.sf.javaml.distance.fastdtw.dtw | JavaML | |
| MahalanobisDistance | Class | net.sf.javaml.distance | JavaML | |
| ManhattanDistance | The Manhattan distance is the sum of the (absolute) differences of their coordinates. | Class | net.sf.javaml.distance | JavaML |
| MaxProductSimilarity | Specialized similarity that takes the maximum product of two feature values. | Class | net.sf.javaml.distance | JavaML |
| MinkowskiDistance | Class | net.sf.javaml.distance | JavaML | |
| NormalizedEuclideanDistance | A normalized version of the Euclidean distance. | Class | net.sf.javaml.distance | JavaML |
| NormalizedEuclideanSimilarity | Class | net.sf.javaml.distance | JavaML | |
| NormDistance | The norm distance or This class implements the Norm distance. | Class | net.sf.javaml.distance | JavaML |
| PAA | Class | net.sf.javaml.distance.fastdtw.timeseries | JavaML | |
| ParallelogramWindow | Class | net.sf.javaml.distance.fastdtw.dtw | JavaML | |
| PearsonCorrelationCoefficient | Calculates the Pearson Correlation Coeffient between two vectors. | Class | net.sf.javaml.distance | JavaML |
| PolynomialKernel | Class | net.sf.javaml.distance | JavaML | |
| RBFKernel | The kernel method for measuring similarities between instances. | Class | net.sf.javaml.distance | JavaML |
| RBFKernelDistance | Class | net.sf.javaml.distance | JavaML | |
| SearchWindow | Class | net.sf.javaml.distance.fastdtw.dtw | JavaML | |
| SineWave | Class | net.sf.javaml.distance.fastdtw.timeseries | JavaML | |
| SpearmanFootruleDistance | Class | net.sf.javaml.distance | JavaML | |
| SpearmanRankCorrelation | Calculates the Spearman rank correlation of two instances. | Class | net.sf.javaml.distance | JavaML |
| TimeSeries | Class | net.sf.javaml.distance.fastdtw.timeseries | JavaML | |
| TimeSeriesPoint | Class | net.sf.javaml.distance.fastdtw.timeseries | JavaML | |
| TimeWarpInfo | Class | net.sf.javaml.distance.fastdtw.dtw | JavaML | |
| TypeConversions | Class | net.sf.javaml.distance.fastdtw.lang | JavaML | |
| WarpPath | Class | net.sf.javaml.distance.fastdtw.dtw | JavaML | |
| WarpPathWindow | Class | net.sf.javaml.distance.fastdtw.dtw | JavaML | |