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This study reports one approach for the classication of magnetic storms into recur-rent patterns. A storm event is dened as a local minimum of Dst index. The analysisof Dst index for the period of year 1957 through year 2000 has demonstrated that alarge portion of the storm events can be classied into a set of recurrent patterns. Inour approach, the classication is performed by seeking a categorization that mini-mizes thermodynamic free energy which is dened as the sum of classication errorsand entropy. The error is calculated as the squared sum of the value differences be-tween events. The classication depends on the noise parameter. that representsthe strength of the intrinsic error in the observation and classication process. Theclassication results would be applicable in space weather forecasting.