diff --git a/aeon/clustering/_elastic_som.py b/aeon/clustering/_elastic_som.py
index da88bb541c..08180c2811 100644
--- a/aeon/clustering/_elastic_som.py
+++ b/aeon/clustering/_elastic_som.py
@@ -6,6 +6,7 @@
 
 from aeon.clustering.base import BaseClusterer
 from aeon.distances import get_alignment_path_function, pairwise_distance
+from aeon.utils.tags.enum_tags import AlgorithmType
 
 VALID_ELASTIC_SOM_METRICS = [
     "dtw",
@@ -148,7 +149,7 @@ class ElasticSOM(BaseClusterer):
 
     _tags = {
         "capability:multivariate": True,
-        "algorithm_type": "distance",
+        "algorithm_type": AlgorithmType.DISTANCE.value,
     }
 
     def __init__(
diff --git a/aeon/clustering/_k_means.py b/aeon/clustering/_k_means.py
index e4e459a5cf..f2c6bb3a7c 100644
--- a/aeon/clustering/_k_means.py
+++ b/aeon/clustering/_k_means.py
@@ -2,6 +2,8 @@
 
 from typing import Optional
 
+from aeon.utils.tags.enum_tags import AlgorithmType
+
 __maintainer__ = []
 
 from typing import Callable, Union
@@ -153,7 +155,7 @@ class TimeSeriesKMeans(BaseClusterer):
 
     _tags = {
         "capability:multivariate": True,
-        "algorithm_type": "distance",
+        "algorithm_type": AlgorithmType.DISTANCE.value,
     }
 
     def __init__(
diff --git a/aeon/clustering/_k_medoids.py b/aeon/clustering/_k_medoids.py
index 12d0f2819d..c6003c4251 100644
--- a/aeon/clustering/_k_medoids.py
+++ b/aeon/clustering/_k_medoids.py
@@ -2,6 +2,8 @@
 
 from typing import Optional
 
+from aeon.utils.tags.enum_tags import AlgorithmType
+
 __maintainer__ = []
 
 import warnings
@@ -146,7 +148,7 @@ class TimeSeriesKMedoids(BaseClusterer):
 
     _tags = {
         "capability:multivariate": True,
-        "algorithm_type": "distance",
+        "algorithm_type": AlgorithmType.DISTANCE.value,
     }
 
     def __init__(
diff --git a/aeon/clustering/_k_sc.py b/aeon/clustering/_k_sc.py
index 1ace94b245..f243b6a9b9 100644
--- a/aeon/clustering/_k_sc.py
+++ b/aeon/clustering/_k_sc.py
@@ -6,6 +6,7 @@
 from numpy.random import RandomState
 
 from aeon.clustering import TimeSeriesKMeans
+from aeon.utils.tags.enum_tags import AlgorithmType
 
 
 class KSpectralCentroid(TimeSeriesKMeans):
@@ -92,7 +93,7 @@ class KSpectralCentroid(TimeSeriesKMeans):
 
     _tags = {
         "capability:multivariate": True,
-        "algorithm_type": "distance",
+        "algorithm_type": AlgorithmType.DISTANCE.value,
     }
 
     def __init__(
diff --git a/aeon/clustering/_k_shape.py b/aeon/clustering/_k_shape.py
index aa8d8a3b64..b1b53084b1 100644
--- a/aeon/clustering/_k_shape.py
+++ b/aeon/clustering/_k_shape.py
@@ -6,6 +6,7 @@
 from numpy.random import RandomState
 
 from aeon.clustering.base import BaseClusterer
+from aeon.utils.tags.enum_tags import AlgorithmType
 
 
 class TimeSeriesKShape(BaseClusterer):
@@ -70,7 +71,7 @@ class TimeSeriesKShape(BaseClusterer):
     _tags = {
         "capability:multivariate": True,
         "python_dependencies": "tslearn",
-        "algorithm_type": "distance",
+        "algorithm_type": AlgorithmType.DISTANCE.value,
     }
 
     def __init__(
diff --git a/aeon/clustering/compose/_pipeline.py b/aeon/clustering/compose/_pipeline.py
index fef3f87e0b..be76dc61a5 100644
--- a/aeon/clustering/compose/_pipeline.py
+++ b/aeon/clustering/compose/_pipeline.py
@@ -6,6 +6,7 @@
 
 from aeon.base._estimators.compose.collection_pipeline import BaseCollectionPipeline
 from aeon.clustering import BaseClusterer
+from aeon.utils.tags.enum_tags import AlgorithmType
 
 
 class ClustererPipeline(BaseCollectionPipeline, BaseClusterer):
@@ -75,7 +76,10 @@ class ClustererPipeline(BaseCollectionPipeline, BaseClusterer):
     """
 
     _tags = {
-        "X_inner_type": ["np-list", "numpy3D"],
+        "X_inner_type": [
+            AlgorithmType.NP_LIST.value,
+            AlgorithmType.NUMPY3D.value,
+        ],
     }
 
     def __init__(self, transformers, clusterer, random_state=None):
diff --git a/aeon/clustering/deep_learning/base.py b/aeon/clustering/deep_learning/base.py
index 4a05e8c662..f946ed9f4d 100644
--- a/aeon/clustering/deep_learning/base.py
+++ b/aeon/clustering/deep_learning/base.py
@@ -8,6 +8,7 @@
 from aeon.base._base import _clone_estimator
 from aeon.clustering._k_means import TimeSeriesKMeans
 from aeon.clustering.base import BaseClusterer
+from aeon.utils.tags.enum_tags import AlgorithmType
 
 
 class BaseDeepClusterer(BaseClusterer):
@@ -29,9 +30,9 @@ class BaseDeepClusterer(BaseClusterer):
     """
 
     _tags = {
-        "X_inner_type": "numpy3D",
+        "X_inner_type": AlgorithmType.NUMPY3D.value,
         "capability:multivariate": True,
-        "algorithm_type": "deeplearning",
+        "algorithm_type": AlgorithmType.DEEPLEARNING.value,
         "non_deterministic": True,
         "cant_pickle": True,
         "python_dependencies": "tensorflow",
diff --git a/aeon/clustering/feature_based/_catch22.py b/aeon/clustering/feature_based/_catch22.py
index 33f0b79bc5..03d142fbb1 100644
--- a/aeon/clustering/feature_based/_catch22.py
+++ b/aeon/clustering/feature_based/_catch22.py
@@ -12,6 +12,7 @@
 from aeon.base._base import _clone_estimator
 from aeon.clustering import BaseClusterer
 from aeon.transformations.collection.feature_based import Catch22
+from aeon.utils.tags.enum_tags import AlgorithmType
 
 
 class Catch22Clusterer(BaseClusterer):
@@ -92,11 +93,14 @@ class Catch22Clusterer(BaseClusterer):
     """
 
     _tags = {
-        "X_inner_type": ["np-list", "numpy3D"],
+        "X_inner_type": [
+            AlgorithmType.NP_LIST.value,
+            AlgorithmType.NUMPY3D.value,
+        ],
         "capability:multivariate": True,
         "capability:unequal_length": True,
         "capability:multithreading": True,
-        "algorithm_type": "feature",
+        "algorithm_type": AlgorithmType.FEATURE.value,
     }
 
     def __init__(
diff --git a/aeon/clustering/feature_based/_summary.py b/aeon/clustering/feature_based/_summary.py
index 309d3ac92f..7299edccbd 100644
--- a/aeon/clustering/feature_based/_summary.py
+++ b/aeon/clustering/feature_based/_summary.py
@@ -12,6 +12,7 @@
 from aeon.base._base import _clone_estimator
 from aeon.clustering import BaseClusterer
 from aeon.transformations.collection.feature_based import SevenNumberSummary
+from aeon.utils.tags.enum_tags import AlgorithmType
 
 
 class SummaryClusterer(BaseClusterer):
@@ -64,7 +65,7 @@ class SummaryClusterer(BaseClusterer):
     _tags = {
         "capability:multivariate": True,
         "capability:multithreading": True,
-        "algorithm_type": "feature",
+        "algorithm_type": AlgorithmType.FEATURE.value,
     }
 
     def __init__(
diff --git a/aeon/clustering/feature_based/_tsfresh.py b/aeon/clustering/feature_based/_tsfresh.py
index ed14e90a47..ad61efe0ce 100644
--- a/aeon/clustering/feature_based/_tsfresh.py
+++ b/aeon/clustering/feature_based/_tsfresh.py
@@ -15,6 +15,7 @@
 from aeon.base._base import _clone_estimator
 from aeon.clustering import BaseClusterer
 from aeon.transformations.collection.feature_based import TSFresh
+from aeon.utils.tags.enum_tags import AlgorithmType
 
 
 class TSFreshClusterer(BaseClusterer):
@@ -74,7 +75,7 @@ class TSFreshClusterer(BaseClusterer):
     _tags = {
         "capability:multivariate": True,
         "capability:multithreading": True,
-        "algorithm_type": "feature",
+        "algorithm_type": AlgorithmType.FEATURE.value,
         "python_dependencies": "tsfresh",
     }
 
diff --git a/aeon/utils/tags/__init__.py b/aeon/utils/tags/__init__.py
index cd506c4460..17fc313f81 100644
--- a/aeon/utils/tags/__init__.py
+++ b/aeon/utils/tags/__init__.py
@@ -1,6 +1,7 @@
 """Estimator tags and tag utilities."""
 
 __all__ = [
+    "AlgorithmType",
     "ESTIMATOR_TAGS",
     "check_valid_tags",
     "all_tags_for_estimator",
@@ -9,3 +10,4 @@
 from aeon.utils.tags._discovery import all_tags_for_estimator
 from aeon.utils.tags._tags import ESTIMATOR_TAGS
 from aeon.utils.tags._validate import check_valid_tags
+from aeon.utils.tags.enum_tags import AlgorithmType
diff --git a/aeon/utils/tags/enum_tags.py b/aeon/utils/tags/enum_tags.py
new file mode 100644
index 0000000000..eabb943c45
--- /dev/null
+++ b/aeon/utils/tags/enum_tags.py
@@ -0,0 +1,31 @@
+"""Apply Enumeration in module."""
+
+__all__ = ["AlgorithmType"]
+
+from enum import Enum
+
+
+class AlgorithmType(Enum):
+    """
+    An enumeration of algorithm types and data structures.
+
+    Attributes
+    ----------
+        Algorithm Types:
+        - DISTANCE: Clustering based on distance metrics
+        - DEEPLEARNING: Clustering using deep learning techniques
+        - FEATURE: Clustering driven by feature extraction
+
+        Data Structure Types:
+        - NP_LIST: Numpy list-based data structure
+        - NUMPY3D: Three-dimensional Numpy array
+    """
+
+    # Algorithm types for clustering strategies
+    DISTANCE = "distance"
+    DEEPLEARNING = "deeplearning"
+    FEATURE = "feature"
+
+    # Data structure types for clustering input
+    NP_LIST = "np-list"
+    NUMPY3D = "numpy3D"