diff --git a/docs/docs/api_docs/c_api/functions.md b/docs/docs/api_docs/c_api/functions.md index 95256c6..9d2b2e3 100644 --- a/docs/docs/api_docs/c_api/functions.md +++ b/docs/docs/api_docs/c_api/functions.md @@ -55,7 +55,7 @@ Removes duplicate [templates](../cpp_api/template/template.md) in a [gallery](.. ## br_cluster -Clusters one or more similarity matrices into a list of subjects. A [similarity matrix](../../technical.md#the-evaluation-harness) is a type of [Output](../cpp_api/output/output.md). The current clustering algorithm is a simplified implementation of \cite zhu11. +Clusters one or more similarity matrices into a list of subjects. A [similarity matrix](../../tutorials.md#the-evaluation-harness) is a type of [Output](../cpp_api/output/output.md). The current clustering algorithm is a simplified implementation of the algorithm proposed by Zhu et al[^1]. * **function definition:** @@ -66,7 +66,7 @@ Clusters one or more similarity matrices into a list of subjects. A [similarity Parameter | Type | Description --- | --- | --- num_simmats | int | Size of **simmats** - simmats[] | const char * | Array of [simmat](../../technical.md#the-evaluation-harness) composing one large self-similarity matrix arranged in row major order. + simmats[] | const char * | Array of [simmat](../../tutorials.md#the-evaluation-harness) composing one large self-similarity matrix arranged in row major order. aggressiveness | float | The higher the aggressiveness the larger the clusters. Suggested range is [0,10] csv | const char * | The cluster results file to generate. Results are stored one row per cluster and use gallery indices. @@ -87,8 +87,8 @@ Combines several equal-sized mask matrices. A comparison may not be simultaneous Parameter | Type | Description --- | --- | --- num_input_masks | int | Size of **input_masks** - input_masks[] | const char * | Array of [mask matrices](../../technical.md#the-evaluation-harness) to combine. All matrices must have the same dimensions. - output_mask | const char * | The file to contain the resulting [mask matrix](../../technical.md#the-evaluation-harness) + input_masks[] | const char * | Array of [mask matrices](../../tutorials.md#the-evaluation-harness) to combine. All matrices must have the same dimensions. + output_mask | const char * | The file to contain the resulting [mask matrix](../../tutorials.md#the-evaluation-harness) method | const char * | Possible values are: