Example #1: Alto Saxophone Multiphonics
Graphs
Clusters Space Network (using MDS) | Minimum Spanning Tree (using Kruskal) |
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N.B. For both graphs, nodes sizes and colours = average weighted degree; larger and darker = high degree, and vice versa…
Shortest Hamiltonian Path (using Nearest Neighbour algorithm)
- Clusters sequence: {14, 13, 3, 10, 4, 12, 11, 5, 8, 9, 7, 6, 1, 2}
N.B. Very close to the Minimum Spanning Tree above…
N.B. The clusters are melted separately using granular synthesis and sequenced using crossfades…
Raw Clustering
General parameters:
- Audio feature(s): chroma
- Temporal modelling: none
- Clustering type: neat
- Distance type(s): mahalanobis
Detailed parameters:
Cluster-1
Cluster-2
Cluster-3
Cluster-4
Cluster-5
Cluster-6
Cluster-7
Cluster-8
Cluster-9
Cluster-10
Cluster-11
Cluster-12
Cluster-13
Cluster-14
