Music Genre Clustering Light

import matplotlib.pyplot as plt
import numpy as np
from scipy.cluster.hierarchy import dendrogram, linkage, set_link_color_palette

np.random.seed(321)

genres = ['Rock', 'Metal', 'Jazz', 'Blues', 'Classical', 'Electronic',
          'Hip-Hop', 'R&B', 'Country', 'Folk', 'Pop', 'Reggae', 'Soul']

audio_features = np.random.rand(len(genres), 7) * 100
Z = linkage(audio_features, method='average')

fig, ax = plt.subplots(figsize=(13, 7), facecolor='#ffffff')
ax.set_facecolor('#ffffff')

set_link_color_palette(['#F527B0', '#27D3F5', '#6CF527', '#F5D327', '#4927F5'])

dn = dendrogram(Z, labels=genres, leaf_rotation=40, leaf_font_size=11,
                color_threshold=0.7*max(Z[:,2]), above_threshold_color='#d1d5db', ax=ax)

ax.set_title('Music Genre Similarity Analysis', fontsize=15, 
             color='#1f2937', fontweight='bold', pad=18)
ax.set_xlabel('Genre', fontsize=11, color='#374151')
ax.set_ylabel('Audio Feature Distance', fontsize=11, color='#374151')

ax.tick_params(axis='both', colors='#374151', labelsize=10)
for spine in ['top', 'right']:
    ax.spines[spine].set_visible(False)
for spine in ['left', 'bottom']:
    ax.spines[spine].set_color('#e5e7eb')
ax.yaxis.grid(True, color='#f3f4f6', linewidth=0.5)

plt.tight_layout()
plt.show()