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Implementing the t-SNE algorithm (#117)
* Added "Hbeta" function for PMTSNE with test It is named as `entropyOf: andPRow: withBeta:`. Added a test for the method ensuring: - Original pVector reference is maintained - entropy is calculated correctly - pVector is calculated correctly * Added `reduceXToInputDims:` method for PMTSNE - Added corresponding test for new method. - Renamed `ndims` to `outputDims` - Renamed `initialdims` to `initialDims` - Added accessor `x` * Added method to get pairwise affinities in PMTSNE - The new function is called `computePairwiseAffinities` (as in original paper) - The old one is renamed to `computeLowDimentionalAffinities` - Removed x2p function (translated it's code to `computePairwiseAffinities`) - Also added tests * Added progress bar(Job) for PMTSNE Moved contents of the `start` method to `initializeJob`. * Added gradient descent in PMTSNE - Also added various accessors and instance vars - Classified existing methods - Added a test for `computePValues`
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