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clam's Introduction

CLAM: Clustering, Learning and Approximation with Manifolds

The Rust implementation of CLAM.

As of writing this document, the project is still in a pre-1.0 state. This means that the API is not yet stable and breaking changes may occur frequently.

โš ๏ธ In December 2023, this project moved to a monorepo structure. While this should have no impact on the end-user, it will impact contributors. Please be aware of these changes and report any issues you may encounter.

Benchmarks

CAKES: IEEE Big Data 2023

Take a look at the following scripts:

  • knn-benchmarks.sh
  • scaling-benchmarks.sh

Components

This repository is a workspace that contains the following crates:

  • abd-clam: The main CLAM library. See here for more information.
  • py-clam: Python bindings for the abd-clam crate. See here for more information.
  • distances: A crate that provides various distance metrics. See here for more information.

License

  • MIT

Publications

Citation

TODO

clam's People

Contributors

carlstoker avatar dependabot[bot] avatar djperrone avatar morganprior avatar ndaniels avatar nishaq503 avatar olwmc avatar thoward27 avatar

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clam's Issues

BFT/DFT in Cluster

Cluster should have both bft and dft methods to make traversing over all clusters an easier task

Strict Flag for Manifold

The manifold class should have an optional parameter (ex: mode), which can be set to strict or auto. In strict mode, functions should fail anytime there is an issue in the flow. In auto mode, anytime we can automatically resolve an issue we should do so.

Great example is to consider random walks, if a user passes in a cluster which is subsumed. We can promote the cluster to one which is not subsumed without much trouble, but the user may want to know they've erred.

Final depth layer has no clusters in dot file creation (glass dataset)

2021-08-09 17:44:15,940:INFO:root:manifold.build_tree:depth: 20, 213 clusters
2021-08-09 17:44:15,943:WARNING:root:manifold.build:No Selection Criterion was provided. Using leaves for building graph.
2021-08-09 17:44:15,944:INFO:root:manifold.build_edges:building edges for graph with 213 clusters in [2, 20] depth range.
2021-08-09 17:44:16,246:INFO:root:manifold.build_edges:building edges for graph with 1 clusters in [0, 0] depth range.
Traceback (most recent call last):
File "main.py", line 21, in
_dot_string = _manifold[_depth].build_edges().as_dot_string(DATA_NAME)
File "/home/joey/Documents/Research/dot_files/venv/lib/python3.8/site-packages/pyclam/manifold.py", line 675, in as_dot_string
for cluster, lfd in zip(self.clusters, normalized_lfds)
TypeError: iteration over a 0-d array

Please explain the output of example code-snippets

From the example code-snippets in README:

rnn_results = search.rnn(query, radius)

The output rnn_results prints the following;

{1923: 0.1594879931018627,
 593: 0.2600480386352904,
 0: 0.0,
 23: 0.08578112997186696,
 60: 0.09579264266309048,
...
 1982: 0.4878119826728968,
 1021: 0.4956229780631022}

What does the above output mean?

Similarly printing manifold from

manifold = Manifold(data, 'euclidean')

gives

euclidean-0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223 ....

what does this mean?
Also, can we avoid having everything printed when we run the following code snippet:

manifold.build(
    criterion.MaxDepth(20),  # build the tree to a maximum depth of 20
    criterion.MinRadius(0.25),  # clusters with radius less than 0.25 cannot be partitioned.
    criterion.Layer(6),  # use the clusters ad depth 6 to build a Graph.
    criterion.Leaves(),  # use the leaves of the tree to build another Graph.
)

The output is just really too large.

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