Changes in version 1.0.0                        

Initial Release

  - First public release of scClustEval
  - Core features:
      - sc_assessment() / self_projection() for clustering quality
        assessment
      - sc_optimize() / sc_optimize_all() for iterative clustering
        optimization
      - Support for multiple classifiers: LR, RF, SVM, NB, DT, XGBoost,
        Ranger
      - Seamless Seurat integration with RunAssessment() and
        RunOptimization()
      - Visualization functions: ROC curves, confusion heatmaps, Sankey
        diagrams
      - C++ acceleration for distance computation and matrix operations
      - Full compatibility with Seurat V4 and V5
      - Cross-platform support (Windows, macOS, Linux)