文件列表:

LSHkCenters/ (0, 2023-11-01)
LSHkCenters/FuzzyClusteringAlgorithm.py (19942, 2023-11-01)
LSHkCenters/LSH/ (0, 2023-11-01)
LSHkCenters/LSH/ExammingLSH.py (2411, 2023-11-01)
LSHkCenters/LSH/LSH.py (4648, 2023-11-01)
LSHkCenters/LSH/SimpleHashing.py (3009, 2023-11-01)
LSHkCenters/LSH/__init__.py (64, 2023-11-01)
LSHkCenters/LSHkCenters.py (14398, 2023-11-01)
LSHkCenters/Measures/ (0, 2023-11-01)
LSHkCenters/Measures/DILCA.py (4702, 2023-11-01)
LSHkCenters/Measures/Eskin.py (1192, 2023-11-01)
LSHkCenters/Measures/Goodall1.py (1818, 2023-11-01)
LSHkCenters/Measures/IOF.py (1570, 2023-11-01)
LSHkCenters/Measures/Jia.py (3486, 2023-11-01)
LSHkCenters/Measures/Le_Ho.py (2541, 2023-11-01)
LSHkCenters/Measures/MathUtils.py (7138, 2023-11-01)
LSHkCenters/Measures/Measure.py (3143, 2023-11-01)
LSHkCenters/Measures/MeasureManager.py (1003, 2023-11-01)
LSHkCenters/Measures/New_Lin.py (2699, 2023-11-01)
LSHkCenters/Measures/Nguyen_Huynh.py (1810, 2023-11-01)
LSHkCenters/Measures/OF.py (1623, 2023-11-01)
LSHkCenters/Measures/Overlap.py (982, 2023-11-01)
LSHkCenters/Measures/__init__.py (0, 2023-11-01)
LSHkCenters/TDef.py (2612, 2023-11-01)
LSHkCenters/TUlti.py (12651, 2023-11-01)
LSHkCenters/__init__.py (102, 2023-11-01)
LSHkCenters/cvi.py (2471, 2023-11-01)
LSHkCenters/fuzzy_cluster_validity_indices.py (4811, 2023-11-01)
PKG-INFO (1958, 2023-11-01)
new/ (0, 2023-11-01)
new/datasets/ (0, 2023-11-01)
new/datasets/balance_scale/ (0, 2023-11-01)
new/datasets/balance_scale/balance-scale.data (6250, 2023-11-01)
new/datasets/balance_scale/balance-scale.names (2222, 2023-11-01)
new/datasets/soybean+large/ (0, 2023-11-01)
new/datasets/soybean+large/Index (484, 2023-11-01)
new/datasets/soybean+large/backup-large.data (27355, 2023-11-01)
new/datasets/soybean+large/backup-large.test (34197, 2023-11-01)
... ...

Python implementations of the LSH-k-Centers algorithms for clustering categorical data: ## Installation: ### Using pip: ```shell pip install lshkcenters ``` ### Import the packages: ```shell import numpy as np from LSHkCenters.LSHkCenters import LSHkCenters ``` ### Generate a simple categorical dataset: ```shell X = np.array([[0,0,0],[0,1,1],[0,0,0],[1,0,1],[2,2,2],[2,3,2],[2,3,2]]) y = np.array([0,0,0,0,1,1,1]) ``` ### LSH-k-Centers: ```shell kcens = LSHkCenters(X,y,n_init=5,k=2) kcens.SetupLSH() kcens.DoCluster() ``` ### Built-in evaluattion metrics: ```shell kcens.CalcScore() ``` ### Out come: ```shell Purity: 1.000 NMI: 1.00 ARI: 1.00 Sil: -1.00 Acc: 1.00 Recall: 1.00 Precision: 1.00 ``` ### Built-in fuzzy evaluattion metrics: ```shell kcens.CalcFuzzyScore() ``` ### Out come: ```shell Fuzzy scores PC:1.00 NPC:1.00 FHV↓:0.02 FS↓:-2000.00 XB↓:0.11 BH↓:0.06 BWS:-2000.00 FPC:3.50 SIL_R:0.70 FSIL:0.70 MPO:12.15 NPE:0.01 PE:0.01 PEB:0.01 ``` ## References: *To be updated*

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