frbrCluster
HELP
1. Choose the file that contains the frbr-keys
Number of subkeys:
1
2
3
4
5
File:
2. Choose the file that contains the frbr-works (optional)
3. Choose the passing method for the clustering process parameters
upload file
type parameters
Choose the configuration file that controls the clustering process
Clustering Parameters
a. General
Incremental Clustering:
No
Yes
Step (< number of keys):
Clustering Algorithm:
Matching
Single Pass
HAC
Bisecting K-Means
Inter-Cluster Similarity:
single-link
complete-link
average-link
Cluster Center Point:
arithmetic mean
median
Clustering Times(1-20):
b. Subkeys parameters
Subkey1:
vector values method:
term-occurrences
term-frequency
tfidf
similarity method:
Jaro-Winkler
Cosine
Jaccard
Dice
Dice with bigrams
Euclidean
similarity percentage:
Subkey2:
vector values method:
term-occurrences
term-frequency
tfidf
similarity method:
Jaro-Winkler
Cosine
Jaccard
Dice
Dice with bigrams
Euclidean
similarity percentage:
Subkey3:
vector values method:
term-occurrences
term-frequency
tfidf
similarity method:
Jaro-Winkler
Cosine
Jaccard
Dice
Dice with bigrams
Euclidean
similarity percentage:
Subkey4:
vector values method:
term-occurrences
term-frequency
tfidf
similarity method:
Jaro-Winkler
Cosine
Jaccard
Dice
Dice with bigrams
Euclidean
similarity percentage:
Subkey5:
vector values method:
term-occurrences
term-frequency
tfidf
similarity method:
Jaro-Winkler
Cosine
Jaccard
Dice
Dice with bigrams
Euclidean
similarity percentage:
HELP