Correct documentation

Author: sergeyklay

README.rst

@@ -49,17 +49,6 @@ For interactive visualization during evaluation, add the ``--show-plot`` option:
      --pyp-clusters output/clusters_output_pyp.csv \
      --show-plot
 
-.. note::
-
-   The package comes with sensible defaults, but optimal parameters depend on your dataset:
-
-   * Default values: DP (α=0.5, κ=0.3), PYP (α=0.3, κ=0.3, σ=0.3)
-   * For a dataset of ~7,000 sentences, these values worked well:
-     * Dirichlet Process: α=15.0, κ=25.0 (formed ~10-20 clusters)
-     * Pitman-Yor Process: α=12.0, κ=25.0, σ=0.5 (formed ~20-30 clusters)
-
-   For guidance on parameter tuning for your specific dataset, see the `Usage Guide <https://clusterium.readthedocs.io/en/latest/usage.html>`_.
-
 Python API Example
 ------------------
 
@@ -72,10 +61,10 @@ Python API Example
    texts = load_data("your_data.txt")
 
    # Perform clustering with default parameters
-   dp = DirichletProcess(alpha=0.5, kappa=0.3)  # Default parameters
+   dp = DirichletProcess(alpha=1.0, kappa=0.8)
    clusters_dp = dp.fit_predict(texts)
 
-   pyp = PitmanYorProcess(alpha=0.3, kappa=0.3, sigma=0.3)  # Default parameters
+   pyp = PitmanYorProcess(alpha=0.8, kappa=0.6, sigma=0.3)
    clusters_pyp = pyp.fit_predict(texts)
 
    # Print number of clusters found