Memory saving and fast k-deterministic k-means with HyperLogLog
Project description
# kHLL HLL module for determining k-means seed
# Test
$ python -m kHLL.test.test_image_hash
# Run example
Measure kmeans performance and accuracy.
$ python -m kHLL.example.kmeans_example
# Run IPython notebook Show IPython notebook whiich describes the performance results of HyperKEstimator
$ ipython notebook –matplotlib inline
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
kHLL-0.0.4.tar.gz
(4.7 kB
view details)
File details
Details for the file kHLL-0.0.4.tar.gz
.
File metadata
- Download URL: kHLL-0.0.4.tar.gz
- Upload date:
- Size: 4.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a7b7aed06ae3623972bae3a24f05a580506d6c489bdb49c9dcb60ffb30e8002e |
|
MD5 | 34fa84822a4f470b5c627e86e938517f |
|
BLAKE2b-256 | 79fffd76f2b6cfe0617697ab8051be748a6731c652456208c4c55be8b8822f13 |