diff --git a/packages/mymath/src/array/index.spec.ts b/packages/mymath/src/array/index.spec.ts
index 874d9f6d..7dc15f97 100644
--- a/packages/mymath/src/array/index.spec.ts
+++ b/packages/mymath/src/array/index.spec.ts
@@ -1,6 +1,17 @@
 import { describe, expect, it, jest } from '@jest/globals'
 
-import { average, product, sum } from './index'
+import {
+  arithmeticMean,
+  average,
+  cubicMean,
+  generalizedMean,
+  geometricMean,
+  harmonicMean,
+  naiveGeneralizedMean,
+  product,
+  rootMeanSquare,
+  sum,
+} from './index'
 
 describe('sum', () => {
   it('should return sum of all values', () => {
@@ -22,7 +33,7 @@ describe('product', () => {
   })
 })
 
-describe('average', () => {
+describe('average (alias of arithmeticMean)', () => {
   it('should return average of all values', () => {
     expect(average([1, 2, 3, 4])).toBe(2.5)
   })
@@ -34,4 +45,83 @@ describe('average', () => {
   it('should return 5 for [] and 5', () => {
     expect(average([], 5)).toBe(5)
   })
+
+  it('should return same value as arithmeticMean', () => {
+    expect(average([1, 2, 3, 4])).toBe(arithmeticMean([1, 2, 3, 4]))
+  })
+})
+
+describe('rootMeanSquare', () => {
+  it('should return root mean square of all values', () => {
+    expect(rootMeanSquare([1, 2, 3, 4])).toBeCloseTo(2.7386)
+  })
+
+  it('should return 0 for []', () => {
+    expect(rootMeanSquare([])).toBe(0)
+  })
+})
+
+describe('cubicMean', () => {
+  it('should return cubic mean of all values', () => {
+    expect(cubicMean([1, 2, 3, 4])).toBeCloseTo(2.924)
+  })
+
+  it('should return 0 for []', () => {
+    expect(cubicMean([])).toBe(0)
+  })
+})
+
+describe('geometricMean', () => {
+  it('should return geometric mean of all values', () => {
+    expect(geometricMean([1, 2, 3, 4])).toBeCloseTo(2.2134)
+  })
+
+  it('should return 1 for []', () => {
+    expect(geometricMean([])).toBe(1)
+  })
+})
+
+describe('harmonicMean', () => {
+  it('should return harmonic mean of all values', () => {
+    expect(harmonicMean([1, 2, 3, 4])).toBeCloseTo(1.92)
+  })
+
+  it('should return 0 for []', () => {
+    expect(() => harmonicMean([])).toThrowError(
+      'Cannot calculate harmonic mean of empty set'
+    )
+  })
+})
+
+describe('generalizedMean', () => {
+  it('should return generalized mean of all values', () => {
+    expect(generalizedMean([1, 2, 3, 4], Number.NEGATIVE_INFINITY)).toBe(
+      Math.min(...[1, 2, 3, 4])
+    )
+    expect(generalizedMean([1, 2, 3, 4], 0)).toBe(geometricMean([1, 2, 3, 4]))
+    expect(generalizedMean([1, 2, 3, 4], 1)).toBe(arithmeticMean([1, 2, 3, 4]))
+    expect(generalizedMean([1, 2, 3, 4], 2)).toBe(rootMeanSquare([1, 2, 3, 4]))
+    expect(generalizedMean([1, 2, 3, 4], 3)).toBe(cubicMean([1, 2, 3, 4]))
+    expect(generalizedMean([1, 2, 3, 4], Number.POSITIVE_INFINITY)).toBe(
+      Math.max(...[1, 2, 3, 4])
+    )
+
+    expect(generalizedMean([], Number.NEGATIVE_INFINITY)).toBe(
+      Number.POSITIVE_INFINITY
+    )
+    expect(generalizedMean([], 0)).toBe(1)
+    expect(generalizedMean([], 1)).toBe(0)
+    expect(generalizedMean([], 2)).toBe(0)
+    expect(generalizedMean([], 3)).toBe(0)
+    expect(generalizedMean([], Number.POSITIVE_INFINITY)).toBe(
+      Number.NEGATIVE_INFINITY
+    )
+  })
+
+  it('should return same value as naiveGeneralizedMean', () => {
+    const values = [1, 2, 3, 4]
+    expect(naiveGeneralizedMean(values, 0.0001)).toBeCloseTo(
+      geometricMean(values)
+    )
+  })
 })
diff --git a/packages/mymath/src/array/index.ts b/packages/mymath/src/array/index.ts
index b3a25ef5..ec2dc204 100644
--- a/packages/mymath/src/array/index.ts
+++ b/packages/mymath/src/array/index.ts
@@ -37,7 +37,7 @@ export const product = (values: number[]): number => {
 }
 
 /**
- * Average of all values in the array
+ * Arithmetic mean (average) of all values in the array
  * If the array is empty, it returns 0 or the defaultValue
  * @example
  * ```ts
@@ -48,9 +48,132 @@ export const product = (values: number[]): number => {
  * @param defaultValue
  * @returns average of all values
  */
-export const average = (values: number[], defaultValue?: number): number => {
+export const arithmeticMean = (
+  values: number[],
+  defaultValue?: number
+): number => {
   if (values.length === 0) {
     return defaultValue || 0
   }
   return sum(values) / values.length
 }
+
+/**
+ * Average of all values in the array (alias of arithmeticMean)
+ * If the array is empty, it returns 0 or the defaultValue
+ * @example
+ * ```ts
+ * import { average } from '@kitsuyui/mymath'
+ * average([1, 2, 3, 4]) // => 2.5
+ * ```
+ * @param values
+ * @param defaultValue
+ * @returns average of all values
+ */
+export const average = arithmeticMean
+
+/**
+ * Geometric mean of all values in the array
+ * If the array is empty, it returns 1 (1 is identity element for multiplication)
+ *
+ * @example
+ * ```ts
+ * import { geometricMean } from '@kitsuyui/mymath'
+ * geometricMean([1, 2, 3, 4]) // => 2.213363839400643
+ * ```
+ * @param values
+ * @returns
+ */
+export const geometricMean = (values: number[]): number => {
+  const n = values.length
+  if (n === 0) return 1 // geometric mean of empty set is 1
+  return product(values) ** (1 / n)
+}
+
+/**
+ * Harmonic mean of all values in the array
+ * If the array is empty, it throws an error
+ *
+ * @example
+ * ```ts
+ * import { harmonicMean } from '@kitsuyui/mymath'
+ * harmonicMean([1, 2, 3, 4]) // => 1.9200000000000004
+ * ```
+ * @param values
+ * @returns
+ */
+export const harmonicMean = (values: number[]): number => {
+  const n = values.length
+  if (n === 0) throw new Error('Cannot calculate harmonic mean of empty set')
+  return n / sum(values.map((value) => 1 / value))
+}
+
+/**
+ * root mean square of all values in the array
+ * If the array is empty, it returns 0
+ * @example
+ * ```ts
+ * import { rootMeanSquare } from '@kitsuyui/mymath'
+ * rootMeanSquare([1, 2, 3, 4]) // => 2.7386127875258306
+ * ```
+ * @param values
+ * @returns
+ */
+export const rootMeanSquare = (values: number[]): number => {
+  return Math.sqrt(arithmeticMean(values.map((value) => value ** 2)))
+}
+
+/**
+ * Quadratic mean (root mean square) of all values in the array
+ * If the array is empty, it returns 0
+ * @example
+ * ```ts
+ * import { quadraticMean } from '@kitsuyui/mymath'
+ * quadraticMean([1, 2, 3, 4]) // => 2.7386127875258306
+ * ```
+ * @param values
+ * @returns
+ */
+export const cubicMean = (values: number[]): number => {
+  return Math.cbrt(arithmeticMean(values.map((value) => value ** 3)))
+}
+
+/**
+ * Aware implementation of generalized mean (Hölder mean) of all values in the array
+ * @param values
+ * @param p
+ * @returns
+ */
+const awareGeneralizedMean = (values: number[], p: number): number => {
+  if (p === Number.NEGATIVE_INFINITY) return Math.min(...values) // p -> -∞ means min
+  if (p === 0) return geometricMean(values)
+  if (p === 1) return arithmeticMean(values)
+  if (p === Number.POSITIVE_INFINITY) return Math.max(...values) // p -> +∞ means max
+  const n = values.length
+  if (p > 1 && n === 0) return 0
+  if (n === 0) throw new Error('Cannot calculate generalized mean of empty set')
+  return naiveGeneralizedMean(values, p)
+}
+
+/**
+ * Naive implementation of generalized mean (Hölder mean) of all values in the array
+ * This function may cause overflow or underflow (zero division)
+ * @param values
+ * @param p
+ * @returns
+ */
+export const naiveGeneralizedMean = (values: number[], p: number): number => {
+  return arithmeticMean(values.map((value) => value ** p)) ** (1 / p)
+}
+
+/**
+ * Generalized mean (Hölder mean) of all values in the array
+ * If the array is empty, it returns 0 or the defaultValue
+ * @example
+ * ```ts
+ * import { generalizedMean } from '@kitsuyui/mymath'
+ * generalizedMean([1, 2, 3, 4], 1) // => 2.5
+ * generalizedMean([1, 2, 3, 4], 0) // => 2.213363839400643
+ * ```
+ */
+export const generalizedMean = awareGeneralizedMean
diff --git a/packages/mymath/src/index.ts b/packages/mymath/src/index.ts
index d1622328..79d53101 100644
--- a/packages/mymath/src/index.ts
+++ b/packages/mymath/src/index.ts
@@ -1,5 +1,15 @@
 export { sigmoid } from './sigmoid'
 export { logOfBase, logFnOfBase } from './log'
-export { sum, product, average } from './array'
+export {
+  sum,
+  product,
+  average,
+  arithmeticMean,
+  cubicMean,
+  generalizedMean,
+  geometricMean,
+  harmonicMean,
+  rootMeanSquare,
+} from './array'
 export { clamp } from './clamp'
 export { softmax, softmaxWithTemperature } from './softmax'