Unsupervised Learning
159
terms
9
terms
40
terms
Partitional Clustering
8
Hierarchical Clustering
10
Density-Based Clustering
10
Distribution-Based Clustering
6
Spectral And Graph-Based Clustering
6
22
terms
Linear Dimensionality Reduction
10
Manifold Learning
12
- Curse of Dimensionality
- Manifold Hypothesis
- Intrinsic Dimensionality
- t-Distributed Stochastic Neighbor Embedding (t-SNE)
- Perplexity
- Uniform Manifold Approximation and Projection (UMAP)
- Locally Linear Embedding (LLE)
- Isomap
- Geodesic Distance
- Multidimensional Scaling (MDS)
- Kernel PCA
- Laplacian Eigenmaps
8
terms
12
terms
10
terms
13
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26
terms
Data Preprocessing
9
Distance And Similarity Measures
12
Scalability And Efficiency
5
19
terms
Internal Clustering Evaluation
6
External Clustering Evaluation
9
Dimensionality Reduction Evaluation
4