... | @@ -30,10 +30,11 @@ naiveKMeans( +integer, |
... | @@ -30,10 +30,11 @@ naiveKMeans( +integer, |
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```
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```
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### Parameters
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### Parameters
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| Name | Type | Description | Default |
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| Name | Type | Description | Default |
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|------|------|-------------|---------|
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|------|------|-------------|---------|
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| maxIterations | +integer | Maximum number of iterations before k-means terminates. | 1000 |
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| maxIterations | +integer | Maximum number of iterations before k-means terminates. | 1000 |
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| initialPartition | +string | Sets the initialPartitionPolicy : "sampleInitialization", "randomPartition" | sampleInitialzation |
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| initialPartition | +string | Sets the initialPartitionPolicy : "sampleInitialization", "randomPartition" | sampleInitialization |
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| emptyCluster | +string | Sets the emptyClusterPolicy: "maxVarianceNewCluster", "killEmptyCluster", "allowEmptyCluster" | allowEmptyCluster |
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| emptyCluster | +string | Sets the emptyClusterPolicy: "maxVarianceNewCluster", "killEmptyCluster", "allowEmptyCluster" | allowEmptyCluster |
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| data | +matrix | Input dataset to perform clustering on. | - |
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| data | +matrix | Input dataset to perform clustering on. | - |
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| clusters | +integer | Number of clusters to find (0 autodetects from initial centroids). | 0 |
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| clusters | +integer | Number of clusters to find (0 autodetects from initial centroids). | 0 |
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... | @@ -58,10 +59,11 @@ dualTreeKMeans( +integer, |
... | @@ -58,10 +59,11 @@ dualTreeKMeans( +integer, |
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```
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```
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### Parameters
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### Parameters
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|
|
|
|
|
| Name | Type | Description | Default |
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|
| Name | Type | Description | Default |
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|
|------|------|-------------|---------|
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|
|------|------|-------------|---------|
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| maxIterations | +integer | Maximum number of iterations before k-means terminates. | 1000 |
|
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| maxIterations | +integer | Maximum number of iterations before k-means terminates. | 1000 |
|
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| initialPartition | +string | Sets the initialPartitionPolicy : "sampleInitialization", "randomPartition" | sampleInitialzation |
|
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| initialPartition | +string | Sets the initialPartitionPolicy : "sampleInitialization", "randomPartition" | sampleInitialization |
|
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| emptyCluster | +string | Sets the emptyClusterPolicy: "maxVarianceNewCluster", "killEmptyCluster", "allowEmptyCluster" | allowEmptyCluster |
|
|
| emptyCluster | +string | Sets the emptyClusterPolicy: "maxVarianceNewCluster", "killEmptyCluster", "allowEmptyCluster" | allowEmptyCluster |
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| data | +matrix | Input dataset to perform clustering on. | - |
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| data | +matrix | Input dataset to perform clustering on. | - |
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| clusters | +integer | Number of clusters to find (0 autodetects from initial centroids). | 0 |
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| clusters | +integer | Number of clusters to find (0 autodetects from initial centroids). | 0 |
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... | @@ -86,10 +88,11 @@ elkanKMeans( +integer, |
... | @@ -86,10 +88,11 @@ elkanKMeans( +integer, |
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```
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```
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### Parameters
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### Parameters
|
|
|
|
|
|
| Name | Type | Description | Default |
|
|
| Name | Type | Description | Default |
|
|
|------|------|-------------|---------|
|
|
|------|------|-------------|---------|
|
|
| maxIterations | +integer | Maximum number of iterations before k-means terminates. | 1000 |
|
|
| maxIterations | +integer | Maximum number of iterations before k-means terminates. | 1000 |
|
|
| initialPartition | +string | Sets the initialPartitionPolicy : "sampleInitialization", "randomPartition" | sampleInitialzation |
|
|
| initialPartition | +string | Sets the initialPartitionPolicy : "sampleInitialization", "randomPartition" | sampleInitialization |
|
|
| emptyCluster | +string | Sets the emptyClusterPolicy: "maxVarianceNewCluster", "killEmptyCluster", "allowEmptyCluster" | allowEmptyCluster |
|
|
| emptyCluster | +string | Sets the emptyClusterPolicy: "maxVarianceNewCluster", "killEmptyCluster", "allowEmptyCluster" | allowEmptyCluster |
|
|
| data | +matrix | Input dataset to perform clustering on. | - |
|
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| data | +matrix | Input dataset to perform clustering on. | - |
|
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| clusters | +integer | Number of clusters to find (0 autodetects from initial centroids). | 0 |
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| clusters | +integer | Number of clusters to find (0 autodetects from initial centroids). | 0 |
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... | @@ -114,10 +117,11 @@ hamerlyKMeans( +integer, |
... | @@ -114,10 +117,11 @@ hamerlyKMeans( +integer, |
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```
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```
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### Parameters
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### Parameters
|
|
|
|
|
|
| Name | Type | Description | Default |
|
|
| Name | Type | Description | Default |
|
|
|------|------|-------------|---------|
|
|
|------|------|-------------|---------|
|
|
| maxIterations | +integer | Maximum number of iterations before k-means terminates. | 1000 |
|
|
| maxIterations | +integer | Maximum number of iterations before k-means terminates. | 1000 |
|
|
| initialPartition | +string | Sets the initialPartitionPolicy : "sampleInitialization", "randomPartition" | sampleInitialzation |
|
|
| initialPartition | +string | Sets the initialPartitionPolicy : "sampleInitialization", "randomPartition" | sampleInitialization |
|
|
| emptyCluster | +string | Sets the emptyClusterPolicy: "maxVarianceNewCluster", "killEmptyCluster", "allowEmptyCluster" | allowEmptyCluster |
|
|
| emptyCluster | +string | Sets the emptyClusterPolicy: "maxVarianceNewCluster", "killEmptyCluster", "allowEmptyCluster" | allowEmptyCluster |
|
|
| data | +matrix | Input dataset to perform clustering on. | - |
|
|
| data | +matrix | Input dataset to perform clustering on. | - |
|
|
| clusters | +integer | Number of clusters to find (0 autodetects from initial centroids). | 0 |
|
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| clusters | +integer | Number of clusters to find (0 autodetects from initial centroids). | 0 |
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... | @@ -142,10 +146,11 @@ pellegMooreKMeans( +integer, |
... | @@ -142,10 +146,11 @@ pellegMooreKMeans( +integer, |
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```
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```
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### Parameters
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### Parameters
|
|
|
|
|
|
| Name | Type | Description | Default |
|
|
| Name | Type | Description | Default |
|
|
|------|------|-------------|---------|
|
|
|------|------|-------------|---------|
|
|
| maxIterations | +integer | Maximum number of iterations before k-means terminates. | 1000 |
|
|
| maxIterations | +integer | Maximum number of iterations before k-means terminates. | 1000 |
|
|
| initialPartition | +string | Sets the initialPartitionPolicy : "sampleInitialization", "randomPartition" | sampleInitialzation |
|
|
| initialPartition | +string | Sets the initialPartitionPolicy : "sampleInitialization", "randomPartition" | sampleInitialization |
|
|
| emptyCluster | +string | Sets the emptyClusterPolicy: "maxVarianceNewCluster", "killEmptyCluster", "allowEmptyCluster" | allowEmptyCluster |
|
|
| emptyCluster | +string | Sets the emptyClusterPolicy: "maxVarianceNewCluster", "killEmptyCluster", "allowEmptyCluster" | allowEmptyCluster |
|
|
| data | +matrix | Input dataset to perform clustering on. | - |
|
|
| data | +matrix | Input dataset to perform clustering on. | - |
|
|
| clusters | +integer | Number of clusters to find (0 autodetects from initial centroids). | 0 |
|
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| clusters | +integer | Number of clusters to find (0 autodetects from initial centroids). | 0 |
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... | | ... | |