[Cluster Analysis, Audio Signal Processing, Deep Learning Modeling]
· Cluster Analysis (k-Means, k-Medoids, EM Gaussian Mixture Model, Hierarchical, DBSCAN)
· Clustering Evaluation Metrics (Silhouette Index, Dunn Index, Davies-Bouldin Index, Calinski-Harabasz Index)
· Audio Signal Processing (Spectrogram, Mel-Frequency Cepstrum, Fast Fourier Transform, Wavelet Transform, Constant-Q Transform)
· CNN Layer (Fully-Connected, Convolutional, Pooling)
· Activation Function (Softmax, ReLU)
· Stochastic Gradient Descent (RMSProp)
· Regularization (Dropout)
· Transfer Learning (CNN Architecture - VGGNet)
· Residual Network
· Normalization (Batch Normalization)
[Cluster Analysis, Audio Signal Processing, Deep Learning Modeling]
· Audio Signal Processing (Spectrogram, Mel-Frequency Cepstrum, Fast Fourier Transform, Wavelet Transform, Constant-Q Transform)
· Deep Generative Model (Autoencoder, Variational Autoencoder, GAN)
· CNN Layer (Fully-Connected, Convolutional, Pooling)
· Activation Function (ReLU, Sigmoid, Leaky ReLU)
· Stochastic Gradient Descent (Adam)
· Regularization (Dropout)
· Cluster Analysis (k-Means, k-Medoids, EM Gaussian Mixture Model, Hierarchical, DBSCAN)
· Clustering Evaluation Metrics (Silhouette Index, Dunn Index, Davies-Bouldin Index, Calinski-Harabasz Index)
