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docs: update clustering and search module documentation with team-specific paths and simulation instructions
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docs/source/hands-on/clustering.md

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@@ -292,8 +292,10 @@ class KMeansPPClustering(Clustering):
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```yaml
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SampleSearch:
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PathPlanning: adf_core_python.implement.module.algorithm.a_star_path_planning.AStarPathPlanning
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Clustering: src.test-agent.module.algorithm.k_means_pp_clustering.KMeansPPClustering
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Clustering: src.<your_team_name>.module.algorithm.k_means_pp_clustering.KMeansPPClustering
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SampleHumanDetector:
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Clustering: src.test-agent.module.algorithm.k_means_pp_clustering.KMeansPPClustering
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Clustering: src.<your_team_name>.module.algorithm.k_means_pp_clustering.KMeansPPClustering
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```
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シミュレーションサーバーを起動して、エージェントを起動してください。エージェントが起動すると、標準出力にクラスタリング結果が表示されます。

docs/source/hands-on/search.md

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@@ -13,7 +13,6 @@
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まず、サーチモジュールを記述するためのファイルを作成します。
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```bash
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mkdir -p src/<your_team_name>/module/search
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touch src/<your_team_name>/module/complex/k_means_pp_search.py
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```
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@@ -29,14 +28,12 @@ from rcrs_core.entities.entity import Entity
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from rcrs_core.entities.refuge import Refuge
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from rcrs_core.worldmodel.entityID import EntityID
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from adf_core_python.core.agent.communication.message_manager import MessageManager
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from adf_core_python.core.agent.develop.develop_data import DevelopData
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from adf_core_python.core.agent.info.agent_info import AgentInfo
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from adf_core_python.core.agent.info.scenario_info import ScenarioInfo
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from adf_core_python.core.agent.info.world_info import WorldInfo
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from adf_core_python.core.agent.module.module_manager import ModuleManager
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from adf_core_python.core.component.module.algorithm.clustering import Clustering
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from adf_core_python.core.component.module.algorithm.path_planning import PathPlanning
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from adf_core_python.core.component.module.complex.search import Search
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from adf_core_python.core.logger.logger import get_agent_logger
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